Amazon

Data Engineer II, SCOT - AIM

Posted On

June 10, 2025

Location

Bangalore, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

July 1, 2025

Job Description

SCOT's Automated Inventory Management (AIM) team seeks talented individuals passionate about solving complex problems and driving impactful business decisions for our executives. The AIM team owns critical Tier 1 metrics for Amazon Retail stores, providing key insights to improve store health monitoring. We focus on enhancing selection, product availability, inventory efficiency, and inventory readiness to fulfill customer orders (FastTrack) while enabling accelerated delivery Speed & Fulfillment Worldwide. This improves both Customer Experience (CX) and Long-Term Free Cash Flow (LTFCF) outcomes. Our approach involves creating standardized, scalable, and automated systems and tools to identify and reduce supply chain defects in our systems and inputs, while driving operational leverage and scaling.

As a Data Engineer, you will analyze large-scale business data, solve real-world problems, and develop metrics and business cases to delight our customers worldwide. You will work closely with Scientists, Engineers, and Product Managers to build scalable, high-impact products, architect data pipelines, and transform data into actionable insights to manage business at scale. We are looking for people who are motivated by thinking big, moving fast, and exploring business insights. If you love to implement solutions to hard problems while working hard, having fun, and making history, this may be the opportunity for you.

About the team
Supply Chain Optimization Technologies (SCOT) is the name of a complex group of systems designed to make the best decisions when it comes to forecasting, buying, placing, and shipping inventory. Functionally these teams work together to drive in-stock, drive placement, drive inventory removal and manage the customer experience.

- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines

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