Data Engineer II, SCOT - AIM
Amazon
2 - 5 years
Bengaluru
Posted: 18/06/2025
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.
Basic Qualifications
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non
- relational databases / data stores (object storage, document or key
- value stores, graph databases, column
- family databases)
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Our inclusive culture empowers Amazonians to deliver the best results for our customers.
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how
- we
- hire/accommodations for more information.
If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
About Company
Amazon is a multinational technology and e-commerce company founded by Jeff Bezos in 1994. Initially focused on selling books online, it quickly expanded into a broad range of products and services, including electronics, cloud computing (via Amazon Web Services), streaming, and artificial intelligence. Amazon has revolutionized online shopping with fast delivery, personalized recommendations, and a subscription service called Amazon Prime. It is one of the world's largest and most valuable companies, with a significant impact on retail, technology, and logistics.
Services you might be interested in
One-Shot Campaign
Reach out to ideal employees in one shot!
The intelligent campaign for reaching out to the ideal audience to whom you can ask for help (guidance or referral).