Senior Data Engineer, PV Prime Video TV-Tech

About the role

The team is primarily based in Seattle with additional presence in New York and London. A data-driven organization focused on Prime Video's growth and commerce analytics, with strong representation in business intelligence, data engineering, and product management functions supporting Prime Video's 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.

Requirements

• 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
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, WA, SEATTLE - 154,600.00 - 209,100.00 USD annually

Additional Information

Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The team presents opportunities to work on very large data sets in one of the world's largest and most complex data warehouse environments. Our data warehouse is built on AWS cloud technology like Redshift, performing ETL processing on multi terabytes of relational data in a matter of hours. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. Key job responsibilities You'll solve big data warehousing problems on a massive scale and apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and self-service data access. You'll be part of the team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment. You'll work closely with the business and technical teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. You'll develop systems and tools to process data, using efficient technologies than can scale to seasonal spikes. Your work will have a direct impact on the day-to-day decision making in the team.

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