Sr Data Engineer (DE III), Prime Video Advertising

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies series documentaries and live sports including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV Max Crunchyroll and MGM. All customers regardless of whether they have a Prime membership or not can rent or buy titles via the Prime Video Store and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment Do you want to invent disrupt and redefine what entertainment means for fans creators and communities all around the globe

As part of the Prime Video team youll get to work on projects that are fast-paced challenging and varied. Also youll get to experiment with new possibilities take risks and collaborate with remarkable people.
Well look for you to bring your diverse perspectives ideas and skill-sets to make Prime Video even better for our customers. With global opportunities for talented creatives technologists marketing professionals and so much more you can decide where a career with Prime Video takes you!

We are seeking a highly skilled and technically adept Data Engineer to join our PVA Data Engineering this role you will design build and maintain scalable fault-tolerant data pipelines and infrastructure to support data-driven insights. Leveraging native AWS technologies and Amazons internal tools you will handle data ingestion transformation integration and ensure high standards of data quality through validation cleansing and deduplication.

You will also be responsible for architecting high-performance scalable and cost-efficient big data processing and storage solutions automating infrastructure with CI/CD principles and optimizing data models to drive efficient ETL processes. You will be interfacing with several key services and APIs write code and build applications in a scalable manner to extract process ingest unstructured data in a streaming batch and asynchronous fashion.

Your role will also focus on data governance ensuring compliance with policies implementing access controls encryption retention and audit mechanisms. Additionally you will work on continuous improvement by automating processes and adopting the latest data engineering technologies. Collaboration with Data Scientists Business Intelligence Engineers (BIEs) Software Development Engineers (SDEs) Product Managers (PMs) and functional managers will be key to delivering tailored data solutions.

Youll also manage diverse technologies such as Python EMR Spark Iceberg Airflow and many AWS data services like Glue Athena Redshift to build a scalable platform that supports analytics and experimentation. The ideal candidate must be customer-obsessed with a passion for advertising able to synthesize a variety of technologies and effectively lead complex projects.

In this position your attention to detail and dedication to high-quality well-documented data products will empower stakeholders to make better data-driven decisions.

Key job responsibilities
- Define and own the teams data architecture the logical data model and end-to-end data flow across the raw unified published and reporting layers including for problems where the design doesnt yet exist.
- Establish architectural patterns technical standards and the data-governance and quality frameworks for the platform.
- Own the machine-readable semantics layer (grain metric definitions caveat registry join rules data-quality adjudication) that underpins the teams GenAI analytics and operations tooling.
- Lead strategic data initiatives end-to-end negotiating scope and dependencies with partner Finance Product and Ad Tech teams without direct authority.
- Mentor and develop data engineers raise the teams bar on data modeling and testing and perform DE technical assessments.
- Design and implement scalable fault-tolerant data pipelines using AWS technologies and internal Amazon tools to extract transform and load data from multiple sources.
- Implement data governance standards including access control encryption data retention deletion policies and audit mechanisms to ensure compliance and security.
- Work with a range of data technologies including Python EMR Spark Iceberg Airflow and many AWS data services like Glue Athena Redshift to create end-to-end pipelines that consolidate data from disparate systems.
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro Claude Code or equivalent

About the team
Prime Video Advertising - Data Measurement and Insights(PVA-DMI) team is a central data and analytics team within the PV-Ads org that plays a pivotal role in fueling the worldwide growth of Amazons video advertising business. We own data platform reporting dashboards measurement and analytical solutions for PV Ads.

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

- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses

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