Seattle

Recruiting the right candidates across all of Amazon is critical to our ability to innovate and build on behalf of our customers. The Data Engineer I role is an integral part of the team responsible for delivering accurate, secure, and timely recruiting data and metrics to our customers across Amazon.The ideal candidate is passionate about data and analytics, with a strong foundation in data engineering. They are eager to learn and grow, and thrive in a dynamic, fast-paced environment. The Data Engineer I will work closely with the wider team to architect, develop, and maintain scalable data infrastructure and data pipelines.Key job responsibilities- Design, implement, and support secure access to large datasets.- Architect, develop, and maintain scalable data infrastructure and data pipelines.- Extract, transform, and load data from a variety of sources using SQL, scripting, and AWS big data technologies.- Design and implement ETL pipelines and BI solutions.- Collaborate with business owners, developers, and BI Engineers to explore new data sources and deliver insights.- Stay up to date with advancements in big data technologies and contribute to pilot projects.- Proactively identify and resolve data-related issues, contributing to increased autonomy and productivity.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.Key job responsibilitiesWe are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. A day in the lifeYou will:Develop and improve the current data architecture, data quality, monitoring and data availability.Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learningPartner with BAs across teams to build and verify hypothesis to improve the AWS Support business.Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customersKeep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)- Experience with one or more scripting language (e.g., Python, KornShell) ...

Amazon’s Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerceKey job responsibilitiesAs a Data Engineer, you will be working in one of growing and challenging spaces of Selling Partner (SP) Support Org. You will design, implement and support scalable data infrastructure solutions to integrate diverse data sources, aggregate, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be working on cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be pivotal in designing scalable architecture for building robust applications and pipelines. You stay abreast of emerging technologies, investigating and implementing where appropriate. A day in the lifeA day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business, ever expanding databases and codebases, internal tech stack for builders, AWS and many more. The challenging part of a data engineer's life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams. About the teamSelling Partner Insights and Analytics team's (SPIA) vision is to provide data and insights to accelerate stakeholder’s data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insightsBASIC QUALIFICATIONS- 4+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Knowledge of distributed systems as it pertains to data storage and computing ...

Amazon Advertising seeks the world’s brightest and best leaders to drive next-generation solutions that enable advertisers to reach customers across our owned and operated sites, on other high-quality publisher sites across the web, and on millions of desktops, mobile, and connected TV devices. Our mission is to offer the world’s most customer-centric advertising. Amazon DSP (ADSP) is our programmatic advertising product for campaigns spanning Display, Video, and Audio across Amazon properties (e.g., Amazon.com, IMDb TV, Twitch, Fire TV, and Amazon Music) and tens of thousands of third-party (3P) websites and apps. We are seeking Data Engineer II who wants to join a team focused on building large-scale systems that integrate across multiple sources to provide unique advertising products. These products give advertisers the controls and data necessary to improve the relevancy and performance of their ads.We are hiring a Data Engineer II to help us accelerate our efforts in delighting our Advertising customers. We consider our Data Engineers owners of the data to which they can propose, own, and then deliver on new product ideas. We expect this person to build new data platform solutions as an owner end-to-end. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these datasets to answer business questions and drive growth.To be successful in this role, you should have broad skills in Infrastructure design, be comfortable dealing with large and complex data sets, have experience building near real-time and batch processing data pipelines. Must be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.Key job responsibilities* Architect a scalable, reliable, and high-performing data processing pipeline on AWS. Leverage AWS services like EMR, Glue, Kinesis, S3, and Managed Airflow to build the data infrastructure. * Ensure the platform can efficiently handle the ingest, processing, and storage of massive data volumes.* Highly proficient in writing code in SQL and Python.* Develop optimized ETL/ELT pipelines to transform raw data into analytical datasets* Implement data partitioning, bucketing, and indexing strategies to enable high-performance queries* Work closely with data scientists, software engineers, product managers, and BIEs* Stay updated with the latest AWS services and data engineering best practicesAbout the teamThe ADSP Product Analytics team is responsible for building platform that can make access to insights and metrics as easy as shopping on Amazon.com. And working backwards from this, we provide PMs access to KPIs and other insights via interactive visualization. We also enable our customers to analyze the data through self-serve query capabilities provided in an easy to use platform using Amazon’s out of box solutions. In addition to analytics, we provide data engineering support by building a scalable infrastructure in AWS that ensures data availability, security and accuracy.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Are you passionate about data and eager to make an impact at Amazon? We have the perfect career opportunity for you.The Foundational People Data Services team at Amazon is seeking an exceptional Data Engineer to join our data team. Our data platform delivers business intelligence to a diverse, global community of internal customers, drawing from one of the world's largest and most complex data sets. At Amazon, we have a culture of data-driven decision-making and require business intelligence that is timely, accurate, and actionable.As a Data Engineer, you will be responsible for designing and implementing data solutions using Amazon's cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. We're looking for someone with a strong drive to answer "why?" questions, excellent analytical abilities, and strong technical skills. Good written and verbal communication skills are essential. We're seeking a self-starter who is comfortable with ambiguity, able to think big while paying careful attention to detail, and thrives in a fast-paced, dynamic environment. If you're ready to influence Amazon's data landscape and drive impactful decisions, we want to hear from you!Key job responsibilities- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Contribute to the architecture and implementation of next generation data solutions from the ground up.- Manage AWS resources including S3, Athena, Batch, lambda etc.- Optimize automated processes for performance and fault tolerance.- Optimize support for ad-hoc analysis across various data sources- Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.- Make large and/or complex data more accessible, understandable and usable by applications and teams.A day in the lifeAs a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.About the teamBeginning in 2022, we built Foundational People Data Services, a secure, reliable, and fast way to store and consume worker data. We have helped builders across Amazon invent 7,800+ and growing experiences with our AWS-like, 1P data services which focus on the builder experience. We obsess over ensuring our data services are as foundational as electricity and water – always available, completely reliable, and convenient to use by builders. We’ve launched a secure and scalable people data store and event publishing bus; a people data catalog with federated ownership and compliance; role-based authorization and access controls to protect confidentiality; streamlined privacy reviews, depersonalization, and data subject access/deletion requests (DSARs/DSDRs); Tier-1 real-time data APIs for people data (PAPI); high-volume data transfer to the Andes data lake; and synthetic worker data to streamline testing.We have seen rapid growth, with Amazon systems consuming 1 trillion employee records annually through billions of API calls to our 1P data services each week. We now have 5,000+ builder customer teams across AWS, Alexa, Payroll, Builder Tools, MyHR, A to Z, Clarity, GREF, Workplace Health & Safety, Time and Attendance, and more – over 75% of them are outside of People Experience & Technology (PXT). Our 1P data services offer real-time APIs and updates, powering vital end-user tools like Phone Tool (1,100+ page views per minute and 50M+ per month), Chime (800K+ calls per workday), Slack (350k+ employees and contingent workers using per workday), facilities badge access (95k+ salaried employees currently swipe in/out of their building each work day), LDAP, internal systems access, payroll, and more.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.We are calling on engineers who wants to contribute to a sustainable future through technology. Join us in developing solutions for renewable energy portfolio and reduce carbon footprint of our materials in data centers. In 2019, Amazon co-founded The Climate Pledge and made a commitment to achieve net-zero carbon by 2040 —10 years ahead of the Paris Agreement. We invited others to join us and there are now more than 300 businesses and organizations across 51 industries and 29 countries that have signed the Pledge, which means we are collectively coming at the climate crisis from nearly every sector and nearly every angle.As part of our efforts to decarbonize our business, we became the world’s largest corporate purchaser of renewable energy in 2020, and last year, we reached 85% renewable energy across our business, and are on a path to power our operations with 100% renewable energy by 2025.We recently announced that AWS will be water positive by 2030, returning more water to communities than it uses in its direct operations. To learn more about AWS’s water+ commitment visit: Water Stewardship.Come join the team that is building the tools and innovative technology to manage our growing portfolio of renewable energy investments, including solar, on-shore and off-shore wind farms.Key job responsibilitiesOur Data Engineers develop large data models for clients in energy, renewable resources, sustainability, and water sectors, enabling them to assess their portfolios. They help our data scientists create predictive models to enhance decision-making. A day in the lifeWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Connections is an innovative, research-driven science program and tech that gives Amazonians globally an effective way to provide feedback on the workplace and help shape the future of the company. Connections asks employees quick questions every day and uses that real-time information to learn from their experiences, introduce targeted content, and measure specific outcomes. Our goal is to strengthen Amazon’s workplace culture and develop leaders who earn trust, remove obstacles, and make Amazon an inspiring place to work.The Connections team combines the culture of a startup, the innovation and creativity of a R&D lab, and technical challenges at the scale of Amazon. We expect TPMs, engineers, and management alike to take a high-level of ownership for the product vision, technical architecture, and project delivery. Successful candidates will be high-bandwidth leaders who can cut through the noise, simplify relentlessly, deliver results, and help build great teams around themselves.As a Data Engineer, you will be responsible for designing and implementing data solutions using Amazon's cloud technologies. The ideal candidate excels at working with AWS ETL tools and is comfortable accessing and manipulating big data from multiple sources. You should passionately partner with business teams to identify strategic opportunities and deliver results. We're looking for someone with a strong drive to answer "why?" questions, excellent analytical abilities, and strong technical skills. Good written and verbal communication skills are essential. We're seeking a self-starter who is comfortable with ambiguity, able to think big while paying careful attention to detail, and thrives in a fast-paced, dynamic environment.Key job responsibilities- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.- Contribute to the architecture and implementation of next generation data solutions from the ground up.- Manage AWS resources including S3, Athena, Batch, lambda etc.- Optimize automated processes for performance and fault tolerance.- Optimize support for ad-hoc analysis across various data sources- Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.- Make large and/or complex data more accessible, understandable and usable by applications and teams.A day in the lifeAs a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied party from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges. As a Data Engineer, You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Your major responsibilities will include - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies. - Designing and implementing complex ELT pipelines and other BI solutions. - Work closely with business owners, developers, Business Intelligence Engineer to explore new data sources and deliver the data. About the teamAbout AmSec:Diverse ExperiencesAmazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why Amazon SecurityAt Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training and Career growthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS ...

AWS Hardware Engineering is looking for an experienced, innovative Data Engineer to join their Data Science and Analytics team. You will be part of a group of talented engineers and scientists that builds data products and services to turn hardware monitoring data into insights using advanced analytics and machine learning.As a Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective. You strive for simplicity, demonstrate creativity and sound judgement. You deliver data solutions that are customer focused, easy to consume and create business impact.You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long-term view on architecting advanced data ecosystem. You are experienced in building efficient and scalable data services and can integrate data systems with AWS tools and services to support a variety of customer use cases/applications.In this role, you can:Design, implement and operate large-scale, high-volume, high-performance data structures for analytics and data science.Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.Collaborate with scientists to create fast and efficient algorithms that exploit our rich data sets for optimization, statistical analysis, prediction, clustering, and machine learning.Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.This role falls within the broader AWS Infrastructure Services (AIS) organization, which owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.About the teamAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.AWS values diverse experiences. Even if you do not meet all the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- A Bachelor's degree in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering) or equivalent industry experience- 3+ years of experience with demonstrated strength in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools- 3+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.- 3+ years of experience in scripting languages like Python etc. ...

The Seller Insights and Planning team’s mission is to make FBA the best place for sellers to both thrive and delight customers. We achieve this through identifying opportunities to address seller pain points, optimizing our services to reduce seller effort, eliminating the defects that lead to seller costs, and orchestrating initiatives across business, technology and operations that simplify the seller experience.As a Data Engineer in this role, you’ll have an opportunity to design, develop, and maintain a data lake that supports engineering, product, and business teams internationally within the Worldwide FBA business. Achieving this will require developing scalable data pipelines and systems that enable efficient and reliable data processing and integration from multiple sources owned by teams distributed internationally. Collaborating closely with cross-functional teams, you will need to determine engineering requirements and implement solutions that support our business intelligence and analytics initiatives, particularly focused on Worldwide FBA performance. The ideal candidate will be technically proficient (at the Data Engineering Coding bar), possess a strong background in data engineering, and have a deep understanding of data architecture. Key job responsibilitiesDesign, build, and maintain scalable and robust data pipelines for extracting, transforming, and loading (ETL) data from various structured and unstructured sources.Develop solutions to integrate data from multiple internal and external sources, ensuring accuracy, consistency, and reliability. Manage data storage solutions to optimize performance and cost-efficiencyDesign and implement efficient data models and schemas for business intelligence, analytics, and reporting. Ensure these models are optimized for performance, scalability, and accessibilityCollaborate with data analysts, BI engineers, software developers, and other stakeholders to understand data needs and provide solutions aligned with business requirements. Engage in cross-functional projects to support WW FBA initiativesImplement and maintain data validation processes to ensure high data quality and integrity. Establish data governance frameworks to enforce data security, privacy, and compliance standardsMaintain comprehensive documentation of data architecture, pipeline designs, and data models. Promote and enforce best practices for data engineering within the teamBASIC QUALIFICATIONS- Bachelor's degree in quantitative study such as Computer Science, Computer Engineering, Mathematics, or equivalent experience- 3+ years of data engineering experience- 3+ years of writing advanced SQL queries- Experience with data modeling, warehousing, and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, R, or NodeJS- Proficiency in written and verbal communication skills including comfortability communicating and presenting to senior leadership ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. By applying to this position, your application will be considered for all Data Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.Start dates for our internships in this posting include the following period:1. Summer (Starts May/June 2025)Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement cutting edge data solutions that provide answers to key business questions? Do you want to be a part of a fast-paced environment and contribute to one of the most visited sites on the Internet?If this describes you, consider joining us as an as Amazon is looking for a data engineer intern to join one our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.Please review the following page for information on Amazon University Talent's recruiting timeline and additional FAQs: https://techengamazon.splashthat.com/. Key job responsibilitiesAs a Data Engineer intern, you will/may:• Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.• Design data schema and operate internal data warehouses and SQL/NoSQL database systems.• Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.• Monitor and troubleshoot operational or data issues in the data pipelines.• Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.• Develop code based automated data pipelines able to process millions of data points.• Improve database and data warehouse performance by tuning inefficient queries.• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.• Provide assistance with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.A day in the lifeIn addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your summer and learn in a real-world setting.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.BASIC QUALIFICATIONS- Experience with database, data warehouse or data lake solutions- Experience with SQL- Experience with one or more scripting language (e.g., Python, KornShell, Scala)- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Experience with data transformation.- Currently enrolled in or will receive a Bachelor’s in Computer Science, Computer Engineering, Information Management, Information Systems, or an equivalent technical discipline with a conferral date between October 2025 – December 2028. ...

The Accounting BI team supports the global Accounting organization with process automation/improvements, developing automated reporting solutions/tools, and improving the ability of the accounting organization to process, analyze, access and consume accurate and timely financial data. The team supports the global accounting organization and partners closely with all technical roles across the org and various businesses and industries Amazon operates in.The ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with a strong data modeling background, deep knowledge of cloud infrastructure, optimizing data for business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and build data sets that answer those questions. You should be able to architect highly efficient data and reporting structures, making a tradeoff between scalability, performance and user functionality needs, using expert knowledge in software development technologiesThe ideal candidate thrives in a fast-paced environment, relishes working with ambiguity, big data, and enjoys the challenges of highly complex business context. This role requires an individual with excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to quickly learn, adapt and work with a variety of technologies.Key job responsibilitiesKey job responsibilitiesWorking with stakeholders and other engineering teams to identify and scope the right data architecture and technology to be used to facilitate analysis of most common Amazon customer behavioral questions.Partnering with partner engineering teams to enhance data infrastructure, data availability, and broad access to customer insights made available through BI tools across the organization.Design, build and implement the right ETL processes using AWS and similar technologies.Implement anomaly detection systems to have a proactive approach to any potential data quality issues, using industry standard frameworks.Enable large scale analytics using EMR and other big data technologiesEstablishing and implementing technology best practices that should be followed across the organization.Work on proof of concepts for adoption of new technology and tools 5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell)BASIC QUALIFICATIONS- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions- Experience with SQL- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.Amazon Business Flywheel Inputs Analytics team is looking for a Data Engineer to build our data platform and set us up for future growth. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find and buy products and services across multiple devices and marketplaces. Our team owns the data driven decision making for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast-growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history.As a Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Product Managers to develop scalable and maintainable data pipelines on both structured and unstructured data. The ideal candidate has solid business judgement, depth of knowledge in data modeling and database architecture, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies). In this role, you will function as a data engineering thought leader and establish operating procedures in partnership with software engineering teams to capture the optimal telemetry from existing, and future product/feature launches. You will design the ingestion in a way that efficiently integrates with the over-arching Amazon Business Pricing, Selection, and Services data model. You will force multiply your expertise across the Scientists and BIEs in the Org, and influence state of the art data pipelining and orchestration mechanisms. Key job responsibilities- Designing, implementing, and maintaining a cutting-edge data infrastructure to support our large and complex datasets using AWS Services and internal BDT Tools- Working with Scientists, Product Managers, BI Engineers, and Software Engineers to design, implement and support source of truth data sources- Developing and optimizing robust ETL pipelines with comprehensive monitoring, alarming, and data quality controls to seamlessly integrate diverse data sources- Building and scaling an analytical data model that provides self-service access to data and flexibility to integrate data sets from multiple sources- Manage AWS resources, including exploring and learning the latest AWS technologies to provide new capabilities and increased efficiency - Force multiplying engineering best practices and fostering a culture of continuous learning and innovationBASIC QUALIFICATIONS- Experience with SQL- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Do you love solving problems whose solutions make the world a better place? As the Amazon Community Impact team, we lead philanthropic initiatives for leveraging Amazon's assets for good, concentrating on the pillars of Education, Housing Equity, Disaster Relief, Food Security, and support for employees and teams volunteering in our communities. https://www.aboutamazon.com/impact/communityAs a Data Engineer you will work in a small, highly collaborative, results-oriented tech team (BIEs, DEs, SDEs), and will be partnering with Product and Program Managers, in a environment that leverages agile planning techniques. The successful candidate will write high-quality code, and work with various stakeholders to design, implement, and support a scalable data infrastructure for business intelligence and analysis, balancing and aligning their requirements with the team long term data vision. We are looking for an engineer who is comfortable working through ambiguity and is a creative problem solver. And, of course, has a passion for the community.Key job responsibilitiesAs a Data Engineer, you will design, develop and enhance scalable data systems and pipelines supporting Amazon's ability to scale our work with community partners, and to measure the activity and impact globally. You will build conceptual data models to harmonize disparate data sets, and technical solutions that scale across use cases. You will become a subject matter expert for community, impact and charitable giving data pipelines across dozens of internal and external data streams, while striving for efficiency by aligning data systems and data management approaches with organizational needs. You will collaborate with other data engineers, software developers, business intelligence engineers as well as program and product partners to deliver end to end solutions that meet business goals. You will work with your internal customers to balance customer requirements with team requirements and develop data solutions to help your team and business evolve.A day in the lifeYou'll be part of a bigger tech team (SDEs, DEs, and BIEs) joining all their ceremonies, starting with the sprint planning, dailies, demos and retrospectives.The ACI team has created and launched the following projects as part of their day to day, with our tech owners playing a key role. We look forward to hearing your ideas for what could be next:Disaster Relief by Amazon: https://www.aboutamazon.com/news/community/amazons-disaster-relief-doesnt-end-with-donationsFood Security: https://www.aboutamazon.com/impact/helpforhunger Donations Hub:https://business.amazon.com/en/discover-more/blog/donationshubMeet an Amazonian:https://www.aboutamazon.com/news/community/amazon-employees-share-their-stories-to-spark-student-curiosity-in-techBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon's advertising supported publishers (e.g., Freevee, Twitch, Onsite). Our mission is to build earth’s most customer-centric advertising services. The APM Analytics team is seeking an exceptional Data Engineer to join the team. If you are passionate about Big data technologies, build scalable real time analytical solutions, relentless in ensuring data quality and reliability, and feel comfortable communicating at different levels of leadership, you are the candidate we are looking for!This role requires deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build ETL to ingest the data into the data lake. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data lake. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.In this role, you will envision, design and develop data solutions to scale APM data. You will be responsible for designing and implementing scalable data/ETL pipelines leveraging big data technologies and modern BI products to effectively meet the rapidly growing and dynamic demands of rich data. You will help org move towards data as a service model to improve influence on day-to-day business decisions. You will influence and guide other data engineers, business intelligence engineers, tech team members and leaders to make informed data decisions. Key job responsibilities- Develop APM data products, infrastructure and data pipelines leveraging AWS services (such as Redshift, Kinesis, EMR, Lambda etc.) and internal Amazon tools (Datanet, Cradle, QuickSight etc.)- Improve existing solutions and come up with next generation APM Data Architecture to improve scale, quality, timeliness, coverage, monitoring and security.- Develop new data models and end to end data pipelines.- Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.Key job responsibilitiesWe are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. A day in the lifeYou will:Develop and improve the current data architecture, data quality, monitoring and data availability.Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learningPartner with BAs across teams to build and verify hypothesis to improve the AWS Support business.Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customersKeep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Within Amazon’s Corporate Financial Planning & Analysis team (FP&A), we enjoy a unique vantage point into everything happening within Amazon. As part of that, this role would be part of a team that is responsible for Amazon’s enterprise-wide financial planning & analytics environment.- Are you excited about working directly to empower users?- Love to get your hands dirty and solve challenging technical issues?Key job responsibilities-Experience in functional/programming languages such as Python, Spark, Scala and Analytics .-Knowledge of distributed systems as it pertains to data storage and computing .-Deep knowledge of various AWS big data technologies .-Experience successfully mentoring junior data and software engineersThis opportunity is a great fit for someone with data & software development skills who is eager for an opportunity to gain skills in other aspects of building & maintaining an enterprise-scale data & analytics software system.The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...

The AWS Kumo team provides technology and trusted expertise that intelligently anticipate and resolve AWS customer needs, helping them adopt, optimize, and operate at scale. Kumo’s products, used by AWS customers and the Support teams that help them, are vital to ensuring exceptional customer experiences on AWS. Our team owns customer facing applications like Trusted Advisor, Personal Health Dashboard, AWS Forums, and Support Center and internal tooling such as Case Management, Troubleshooting, and Customer Event Management. We are a highly innovative global organization revolutionizing the way customers engage and seek help from AWS. Support provides a strategic advantage for customers adopting AWS and drives direct revenue to the business.We are looking for an excellent Data Engineer who is passionate about data and the insights that large amounts of data sets can provide. You should possess both a data engineering background and a business acumen that enables you to think strategically. You will experience a wide range of problem solving situations requiring extensive use of data collection and analysis. The successful candidate will work in lock-step with BI Engineers, Data scientists, ML scientists, Business analysts, Product Managers and other stakeholders across organization. You will: - Develop and improve the current data architecture, data quality, monitoring and data availability. - Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning - Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business. - Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers - Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.About the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

Operations Finance Technology team, responsible for building technical solutions for multi-billion WW Operational Cost analytic including Inbound cost (Receiving / PO), variable Cost, fixed cost, outbound (Customer Shipments / Transportation), and Customer Service, is looking for a Data Engineer. As a data engineer, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business teams in analysis on various cost savings initiatives, many non-standard and unique business problems and use creative-problem solving to deliver actionable output. You will be responsible for designing and implementing an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards. You will have an opportunity to work with leading edge technologies like Redshift, Hadoop/Hive/Pig. You will be writing scalable queries and tuning performance on queries running over billion of rows of data. BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines ...

The Amazon Devices organization designs, produces and markets Kindle e-readers, Fire Tablets, Fire TV Streaming Media Players and Echo Speakers, and is constantly looking to innovate on behalf of customers with new devices in existing or new categories or improving the customer experience on existing platforms. The Devices Analytics team provides customer engagement support to the broader organization for Kindle, Fire, and Echo products – established and emerging countries, worldwide. We are looking for an innovative, hands-on and customer-obsessed Data Engineer who can be a strategic partner to the product managers and engineers on the team. Our projects span multiple organizations and require coordination of experimentation, economic and causal analysis, forecasting, and predictive machine learning tools. You will act as the business-facing subject matter expert for data storage, feature instrumentation, and data privacy, with the responsibility of managing end-to-end execution and delivery across projects. In this role, you will be a technical expert with massive impact. You work tightly with the research scientist and business intelligence engineers on our team to create the data infrastructure and pipelines to drive our machine learning projects from initial experimentation to production level deployment. Your work will directly impact the success of Amazon's growing Devices business. You will work across diverse science/engineering/business teams. You will work on critical data engineering problems, building unique high quality reliable, accurate, consistent, and architecturally sound data sets that are aligned with our business needs.Key Performance Areas - Design, implement and support an analytical data infrastructure - Managing AWS resources including EC2, EMR, S3, Glue, Redshift, etc. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency - Collaborate with Data Scientists and Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customersBASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines- Experience with SQL ...