Join Amazon's Supply Chain Optimization Technologies (SCOT) team as a Data Engineer I in the Automated Inventory Management (AIM) division. This role is perfect for those passionate about solving complex problems and driving impactful business decisions. The AIM team manages critical Tier 1 metrics for Amazon Retail stores, focusing on improving store health monitoring, selection, product availability, and inventory efficiency.
As a Data Engineer, you'll work with large-scale business data to solve real-world problems and develop metrics that directly impact customer satisfaction. You'll collaborate closely with Scientists, Engineers, and Product Managers to build scalable, high-impact products and transform data into actionable insights. The role involves creating standardized, automated systems to identify and reduce supply chain defects while driving operational leverage.
The position offers the opportunity to work with cutting-edge technologies including AWS Redshift, OLAP technologies, and big data tools like Hadoop, Hive, and Spark. You'll be responsible for building and maintaining ETL pipelines, implementing robust data structures, and ensuring high performance and availability of data systems.
This is an excellent opportunity for someone starting their data engineering career, offering exposure to one of the world's largest e-commerce operations. You'll be part of a team that directly influences Amazon's customer experience and long-term free cash flow outcomes while working in a fast-paced, innovative environment that values thinking big and moving fast.