Data Engineer I SCOT - AIM
Data Engineer I SCOT - AIM
Posted on :
08-04-2025
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1 Vacancy
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Job Description
SCOTs 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 LongTerm 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 largescale business data solve realworld 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 highimpact 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.
Key job responsibilities
Develop data products and build optimize and maintain reliable data pipelines for extracting transforming and loading (ETL) large datasets from diverse sources.
Implement data structures using best practices in data modeling ETL/ELT processes and SQL AWS Redshift and OLAP technologies Model data and metadata for ad hoc and prebuilt reporting.
Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Monitor and improve data pipeline performance ensuring low latency and high availability.
Automate repetitive data engineering tasks to streamline workflows and improve efficiency.
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 instock drive placement drive inventory removal and manage the customer experience.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As a Data Engineer you will analyze largescale business data solve realworld 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 highimpact 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.
Key job responsibilities
Develop data products and build optimize and maintain reliable data pipelines for extracting transforming and loading (ETL) large datasets from diverse sources.
Implement data structures using best practices in data modeling ETL/ELT processes and SQL AWS Redshift and OLAP technologies Model data and metadata for ad hoc and prebuilt reporting.
Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL Python and Spark.
Monitor and improve data pipeline performance ensuring low latency and high availability.
Automate repetitive data engineering tasks to streamline workflows and improve efficiency.
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 instock drive placement drive inventory removal and manage the customer experience.
1 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
Experience with one or more scripting language (e.g. Python KornShell)
Experience with big data technologies such as: Hadoop Hive Spark EMR
Experience as a data engineer or related specialty (e.g. software engineer business intelligence engineer data scientist) with a track record of manipulating processing and extracting value from large datasets
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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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