Sr.Data Engineer, Prime Video

Seattle, Washington, USA

Full Time Senior level / Expert logo
Apply now Apply later

Posted 1 month ago

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 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 Sr. 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

· 5+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
· Bachelor's Degree in Computer Science or a related technical discipline
· 3+ years of experience in the field of data engineering
· Expertise in the design, creation and management of large datasets/data models.
· Ability to write high quality, maintainable, and robust code, often in SQL, and Python.
· Demonstrated strength in data modeling - understanding of 3NF, Star schema, etc.

Preferred Qualifications

· Experience with Amazon Redshift
· Experience in scripting languages
· Experience working with business owners to define key business requirements and convert to technical specification
· Experience handling Big data volumes and performance tuning
· Exposure/Experience in Big data Technologies (hadoop, spark, presto, etc.)
· Experience working in a UNIX/LINUX environment
· Strong analytical and problem solving skills
· Excellent verbal and written communication skills
· Experience working with business owners to convert key business requirements into technical specifications
· Meets/exceeds Amazon’s leadership principles requirements for this role
· Meets/exceeds Amazon’s functional/technical depth and complexity for this role
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

Job tags: AWS Big Data Business Intelligence Data Warehousing Engineering ETL Hadoop Linux Python Redshift Spark SQL
Job region(s): North America
Share this job: