Amazon Sr Data Engineer Partner Experience 

United States, California 

500472420

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels, including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ, with no extra apps to download and no cable required. The Partner Experience (PX) organization is focused on delivering world-class partner tools to enable partners to launch, grow, and scale their businesses across Prime Video's business lines. The PX organization builds various products to help partners: 1) onboard and make their selection available to customers globally; 2) manage their selection across Prime Video's business lines; and 3) acquire, engage, and retain customers through self-service marketing, merchandising, and promotion tools. By providing partners with best-in-class self-service capabilities throughout their engagement with Amazon, the PX organization powers the flywheel through increased partner satisfaction and expanded selection available to Amazon customers.Key job responsibilities
As a Sr. Data Engineer on the team, you will work with very large data sets in one of the world's largest and most complex data lake and data warehouse environments. You will design, build, and maintain robust data infrastructures to process large volumes of data (big data) from various sources. This includes writing clean, maintainable code that adheres to best practices, being familiar with AWS data processing services, possessing broad knowledge of when to utilize different types of data, and understanding data security and compliance standards to ensure alignment with company policies and regulations.A day in the life

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