Data Engineer I, SCOT - AIM

Amazon's Supply Chain Optimization Technologies (SCOT) team is seeking a Data Engineer I to join their Automated Inventory Management (AIM) division. This role presents an exciting opportunity to work on critical Tier 1 metrics for Amazon Retail stores, directly impacting the company's inventory management and customer experience.

The position involves working with large-scale business data to solve real-world problems in supply chain optimization. You'll be responsible for developing and maintaining data pipelines, implementing ETL processes, and transforming complex data into actionable insights. The role requires collaboration with Scientists, Engineers, and Product Managers to build scalable, high-impact products.

As part of the AIM team, you'll contribute to improving store health monitoring, enhancing product selection and availability, and optimizing inventory efficiency. Your work will directly influence both Customer Experience (CX) and Long-Term Free Cash Flow (LTFCF) outcomes through the creation of standardized, scalable, and automated systems.

The ideal candidate should have at least 1 year of data engineering experience and be proficient in SQL and Python. Knowledge of big data technologies like Hadoop, Hive, and Spark is a plus. You'll be working in a fast-paced environment where thinking big and moving fast are essential.

This role offers the opportunity to work with cutting-edge technologies and contribute to systems that impact millions of customers worldwide. You'll be part of a team that focuses on creating automated solutions to identify and reduce supply chain defects while driving operational leverage and scaling.

The position is based in Bangalore, India, and offers the chance to work with one of the world's leading technology companies. Amazon provides a collaborative environment where you can grow your career while working on challenging problems that directly impact the business's success.