Job ID: 2844358 | Amazon.com Services LLC

Fire TV is reshaping the way millions of people watch, engage with, and enjoy entertainment content every day. We are seeking an experienced Sr. Data Engineer who is passionate about using data to surface customer insights that will influence the development of new and improved customer experiences on Fire TV. If you enjoy working with cross-functional teams to deliver robust and scalable analytics and ML solutions to address complex problems, and thrive in a fast-paced, changing environment, then this opportunity is for you.

A successful candidate is an expert in Big Data engineering concepts, data architecture design, performance tuning, and data modeling. They are comfortable working independently in an ambiguous and fast-paced environment, and are able to think big while paying attention to detail. They can communicate with both technical experts and non-experts, and have an analytical mindset that helps them connect their work to the needs of their data customers.

Key job responsibilities

  1. Collaborate with scientists, engineers, software developers, and business leaders to define data system requirements and provide solutions
  2. Develop robust, scalable and maintainable data systems with a combination of in-house tools and standard technologies (e.g. SQL, Python and Spark)
  3. Build with operational best practices (e.g. dashboarding and monitoring/alarming to ensure data integrity)
  4. Design and implement durable data models for FTV datasets
  5. Protect data to ensure customer trust

BASIC QUALIFICATIONS

  1. 5+ years of data engineering experience
  2. Experience with data modeling, warehousing and building ETL pipelines
  3. Experience with SQL
  4. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  5. Experience mentoring team members on best practices

PREFERRED QUALIFICATIONS

  1. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
  2. Experience operating large data warehouses
  3. Experience working with a cloud services platform (specific experience with AWS technologies, e.g., Redshift, S3, EC2, is a plus but not required)
  4. Experience architecting large scale BI solutions
  5. Experience gathering business requirements and using industry standard business intelligence tools to extract data, formulate metrics and build reports
  6. Proven track record of successful communication of analytical outcomes, including an ability to effectively communicate with both business and technical teams

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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