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Amazon.com Posted 4 months ago

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



















Basic Qualifications

· 3+ 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.com is an Equal Opportunity Employer – Minority /

Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.



