Data Engineer, Amazon Prime Video Data, Analytics, Insight and Excellence Team
Amazon
DESCRIPTION
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.
Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery.
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.
We are looking for an experienced, innovative, and strategic Data Engineer. In this role, you will be working in a large and complex data warehouse environment. You should be passionate about working with disparate datasets and be someone who loves to bring data together to answer business questions.
You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with Analysts, Business Intelligence Engineers Data Scientists, Software Developers as well as business teams across the prime video organization.
In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making.
The right candidate will possess excellent technical ability in relational database management systems a database architecture, solid business and communication skills, be able to work with business owners to develop and define key business questions, be able to work with external data vendors to onboard new datasets, and be able to collaborate to analyze data.
Key job responsibilities
• Design, implement, and support an analytical data infrastructure providing ad hoc access to large datasets and computing power
• Managing AWS resources
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
• Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
• Work with external data vendors to onboard data into existing infrastructure
• Collaborate with Analysts, Business Intelligence Engineers and Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning
• Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
• explore leveraging newest and advanced technology to rethink how we engineer data