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 through enhanced 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 worldwide. You'll collaborate closely with Scientists, Engineers, and Product Managers to build scalable, high-impact products and transform data into actionable insights that help manage business at scale.
The role involves developing and maintaining ETL pipelines, implementing data structures using best practices, and working with various technologies including SQL, Python, and AWS services. You'll be responsible for monitoring and improving data pipeline performance while ensuring high availability and low latency.
This position offers an opportunity to work on critical systems that directly influence Amazon's retail operations, making it ideal for someone who enjoys tackling complex technical challenges while having a tangible impact on business outcomes. The team's work directly contributes to improving both Customer Experience (CX) and Long-Term Free Cash Flow (LTFCF).
If you're motivated by thinking big, moving fast, and exploring business insights while working in a dynamic, fast-paced environment, this role offers an excellent opportunity to make your mark at one of the world's leading technology companies.