Data Engineer, BADS

The Amazon BADS (Business Analytics and Data Science) team is seeking a talented Data Engineer with expertise in systems development. This role offers an exciting opportunity to innovate and build automation solutions for a highly scalable data platform using cutting-edge AWS technologies. The position requires a self-driven professional with strong Python skills and solid systems development background.

As a Data Engineer at Amazon BADS, you'll work in a complex data warehouse environment, creating and managing Python-based automation solutions using various AWS services including Redshift, DynamoDB, Athena, Glue, S3, and Kinesis. You'll be responsible for designing and implementing scalable data warehouse solutions, building data pipelines, and creating efficient automation workflows using Amazon Managed Workflows for Apache Airflow (MWAA).

The role involves collaborating with engineering, science, and product teams in an innovative learning environment where decisions are data-driven. You'll be instrumental in collecting, analyzing, and presenting actionable insights that drive operational and logistics strategies. The position offers the opportunity to work on challenging problems while pushing the boundaries of technology to create unparalleled experiences.

Amazon values diversity and welcomes candidates with unique backgrounds and experiences. The company offers comprehensive benefits including medical, dental, and vision coverage, parental leave options, PTO, and a 401(k) plan. This role provides an excellent opportunity to make an impact on a global scale while working with cutting-edge technologies in a dynamic environment.

The ideal candidate will have 4+ years of data engineering experience, strong expertise in data modeling and ETL pipelines, and experience with AWS technologies. They should be passionate about coding optimized solutions and have the ability to translate complex data into meaningful insights through collaboration with analysts and engineers.