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Data Engineer - Amazon Prime Video Product Analytics - Amazon.com
Data Engineer
Data Engineer responsible for building scalable data pipelines and analytics solutions for Prime Video product insights, leveraging Python, SQL, Spark, and AWS to transform raw data into actionable intelligence for product decisions.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of product usage and engagement data.
- Collaborate with Business Intelligence Engineers and Data Scientists to create data models and dashboards that support product strategy and customer experience initiatives.
- Optimize data workflows using Apache Spark, SQL, and AWS services (S3, Redshift, Glue) to ensure high performance and reliability.
- Implement data quality checks, monitoring, and alerting to guarantee data integrity across the analytics ecosystem.
- Document data architecture, pipeline logic, and best practices for internal stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field; advanced degree preferred.
- 3+ years of experience building data pipelines in a cloud environment, with strong proficiency in Python and SQL.
- Hands‑on experience with Apache Spark and AWS data services (Glue, Redshift, S3).
- Solid understanding of data modeling, ETL best practices, and performance tuning.
- Excellent communication skills and ability to work cross‑functionally with product and analytics teams.
Skills
pythonsqlapache sparkaws