Job Description
The Global E-Commerce team focuses on building data infrastructure and data product areas to support business engineering teams working directly.
As a data engineer in the Global E-Commerce team, you will have the opportunity to build, optimize, and grow one of the largest data platforms in the world. You'll gain hands-on experience with various systems in the data platform ecosystem. Your work will have a direct and significant impact on the company's core products as well as hundreds of millions of users.
Responsibilities - What You'll Do
- Design and build data transformations efficiently and reliably for different purposes (e.g., reporting, growth analysis, multi-dimensional analysis).
- Design and implement reliable, scalable, robust, and extensible big data systems that support core products and business.
- Establish solid design and best engineering practices for engineers as well as non-technical people.
Requirements
- BS or MS degree in Computer Science or related technical field or equivalent practical experience.
- Experience in Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink, etc.).
- Experience with performing data analysis, data ingestion, and data integration.
- Experience with ETL (Extraction, Transformation & Loading) and architecting data systems.
- Experience with schema design, data modeling, and SQL queries.
- Passionate and self-motivated about technologies in the Big Data area.