Data Engineer

Job description

DESCRIPTION

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.

The 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.
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 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.

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 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're required 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 team.

Desired profile

BASIC QUALIFICATIONS

BASIC QUALIFICATIONS
· Bachelor's Degree in Computer Science or a related technical discipline.
· Experience writing high quality, maintainable SQL on large datasets.
· Ability to write code in Python, Ruby, Scala or other platform related Big data technology.
· Expertise in Star Schema data modelling
· Experience working in an Agile environment
· Exposure/Experience in Bigdata Technologies
· Experience in Datawarehousing and Analytics domain building large scale solutions
· Strong analytical and problem solving skills
· Expertise in the design, creation and management of large datasets/data models
· Experience working on building /optimizing logical data model and data pipelines while delivering high data quality solutions that are testable and adhers to SLAs
· Experience using various data design patterns and knows when/when not to use one
· Excellent verbal and written communication skills
· Ability to work with business owners to define key business requirements and convert to technical specifications