Prime Video is changing the way customers around the world consume video entertainment by offering in every country the broadest selection of premium video within a single experience, accessible across all devices. The mission of Prime Video International Expansion Business Intelligence team is to drive marketing, product and content decisions that improve customer experience by providing analytical solutions and actionable insights across three lines of business - SVOD, Channels and TVOD.
To help us fulfill this mission, we are seeking a competent, curious, resourceful, and experienced Data Engineer to develop a scalable data warehouse architecture and performant data models that powers our analytical ecosystem and day-to-day decision making. The team presents an exciting opportunity to work on very large data sets in one of the world's largest data warehouse environments. Our data warehouse is built on AWS cloud technologies such as Spectrum and Redshift for performing ETL processing of TBs of relational data.
As a data engineer in this team, you will solve big data warehousing problems on a massive scale. You will apply cloud-based AWS services to solve challenging problems around: big data processing, data warehouse design, and enabling self-service.
You will focus on automation and optimization for all areas of DW/ETL maintenance and deployment. You will work closely with the business intelligence engineers, marketing/programming managers and the software development teams on many non-standard and unique business problems and use creative problem solving to deliver actionable output. The role of data engineer in Amazon requires excellent technical skills in order to develop systems and tools to process and analyze data as well as, but not limited to, the ability to deal with ambiguity and prioritization change. Your work will have a direct impact on the day-to-day decision making.
In this role you will:
Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
Analyze source data systems and drive best practices in source teams and peer BI teams
Produce comprehensive dataset and insist on high standard of data quality