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Amazon

Data Engineer II, Prime Video, Product Analytics

Amazon, Culver City, California, United States, 90232


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 in 25 countries 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.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Prime Video is changing the way people watch movies and TV shows, with hundreds of thousands of titles available to stream and download on all your favorite devices - Amazon FireTV, iOS devices, Roku, game consoles and Fire Tablets. The mission of Prime Video- Product Analytics team is to drive product decisions that improve customer experience by building decision-making analytical products and deep customer insights. We are seeking a 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, product 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 data as well as, but not limited to, the ability to analyze data. Your work will have a direct impact on the day-to-day decision making in the Prime Video team.

Basic Qualifications

3+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

Experience with SQL

3+ years of experience in generating and maintaining data pipelines from various data sources, in collaboration with diverse stakeholders

Experience with best practices for development including query optimization, version control, code reviews, and documentation

Preferred Qualifications

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Experience with streaming entertainment industry related datasets such as events, clicks and impressions data

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.