Data Engineer, PV Prime Video TV - Tech

Data Engineer role in PV Prime Video Tech at Amazon, focused on designing and implementing scalable data infrastructure and pipelines to enable data-driven decision making across Prime Video, leveraging AWS big data technologies to ingest and integrate data from multiple sources.

Responsibilities

• Support PV Commerce Analytics in a high-impact capacity, designing scalable data infrastructure within a large, complex data warehouse environment and integrating diverse data sources.
• Build and maintain data pipelines using AWS big data tools such as Redshift, EMR/Spark, Andes Data Lake, and native AWS services to ingest data from Video Commerce, Digital Commerce, Prime, and Device Platform teams; provide datasets to 50+ downstream teams for reporting, analytics, ML models, and ad-hoc requests.
• Create high-performing, scalable data products that empower data driven decisions across Prime Video.
• Design intricate data pipelines and models for subscription, transaction, and device registration datasets.
• Deliver scalable data solutions on native AWS infrastructure.
• Develop data quality validation frameworks and monitoring to ensure data integrity and timeliness.
• Architect and optimize batch and near real-time processing workflows using Spark, Redshift, and Andes.
• Implement robust orchestration and monitoring for workflows with complex dependencies.
• Collaborate with cross-functional teams to onboard new data sources.

Requirements

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Proficiency in SQL.

Technologies

• Redshift
• EMR
• Andes Data Lake
• Spark
• S3
• AWS Glue
• Kinesis
• FireHose
• Lambda
• IAM roles and permissions
• SQL

Benefits

• Health insurance including medical, dental, vision, and prescription coverage, Basic Life and AD&D with optional supplemental life plans, EAP, mental health support, Medical Advice Line, Flexible Spending Accounts, and adoption or surrogacy reimbursement coverage.
• 401(k) with matching.
• Paid time off.
• Parental leave.
• Sign-on payments.
• Restricted stock units (RSUs).

About the Team

• Primarily based in Seattle with additional presence in New York and London, a data-driven organization focused on Prime Video growth and commerce analytics, spanning business intelligence, data engineering, and product management to support commercial and analytical needs.
• Cross-functional team building intelligent systems that integrate content and data to deliver personalized customer experiences across streaming, live events, and emerging formats.