Amazon’s Prime Video is a premium on-demand video entertainment service that offers customers the greatest choice in what to watch from popular Prime Original TV shows (made by Amazon Studios) such as The Grand Tour, Tom Clancy’s Jack Ryan and the recent Golden Globe winning The Marvelous Mrs. Maisel to Prime Original Movies like the Oscar-winning Manchester by the Sea and The Salesman. The service also offers TV shows that are exclusively available for Prime members in each country such as American Gods, MR ROBOT and Outlander, and more recently live sport including the US Open tennis from 2018 and Premier League games from 2019. Beyond this content exclusivity, the service further differentiates from other video-on-demand services by offering Prime members the opportunity to subscribe to 60+ channels like Discovery, Starz, Eurosport Player and hayu and hundreds of thousands of additional titles to watch instantly with no extra apps to download or long term contracts. Prime Video is at the forefront of the entertainment industry and growing fast - now available in more than 240 countries and territories worldwide – and we work in a dynamic, and exciting 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..
In Prime Video, the Subscriptions and Commerce team is responsible for the Amazon customer experience in purchasing and subscribing to video content, from surfacing the most relevant offers and ensuring transactions succeed to handling the lifecycle of everything they have bought.
Amazon sells millions of digital items through its websites and connected devices program. In order to evaluate the performance of the business and make the best forward looking decisions, we need to store and analyze huge sets of data related to subscription, purchase and consumption of digital content.
The Amazon Video Subscription and Commerece Platform (AVCP) team presents exciting 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 terabyte 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.
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 self-service data access. You will be part of a data engineering team that focuses on automation and optimization for all areas of DW/ETL maintenance and deployment.
You will 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. The role of data engineer in Amazon requires excellent technical skills in order to develop systems and tools to process data and persist using efficient technologies that can scale to seasonal spikes and deep. Your work will have a direct impact on the day-to-day decision making in the Amazon Video team.
Each day, we process hundreds of billions of rows and 10s of petabytes of data, using our custom-built, high-performance data processing engines. Data is served to hundreds of internal customers.The demand for analytics and data-freshness, coupled with our sheer volume of data and performance requirements, means that we have moved well beyond any industry-leading standard offerings.
So if you think Hadoop is slow; You perceive 100s of terabytes to be small, then we have a position for you.We are looking for a person who thrives on big challenges! A person who is not afraid of thinking big and challenging the status quo. Ideally you have a proven track-record of building high-performance, high-availability database technology. In addition you have a passion for code and design, and providing technical leadership and mentoring.