Data Engineer, Amazon Prime Video Product Analytics
Prime Video & Amazon MGM Studios · Seattle, WA · Yesterday
Information TechnologyFull-time
Key job responsibilities
- Design, implement, and maintain scalable and reliable data models and ETL pipelines that span the full customer funnel—including the reporting layer for the out-of-app messaging platform and other PV marketing channel infrastructure.
- Build and enhance the AI tooling and analytics products to enable self-serve and improved efficiency.
- Partner with engineering and dependency teams to define data contracts, ensure upstream data reliability, and proactively manage communication and change coordination for data schema updates.
- Collaborate with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, reporting, experimentation, full-funnel attribution, and ML use cases.
- Monitor pipeline health, resolve job and cluster issues, and improve automation, testing, and observability to increase system resilience.
- Champion data engineering best practices across the team—including documentation, version control, peer reviews, and operational excellence.
Basic Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with SQL
Preferred Qualifications
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions