Data Engineer, Devices Sales & Marketing

Amazon's Demand Science Optimization (DSO) team is seeking a Data Engineer to join their Devices Sales & Marketing division. This role sits at the intersection of data, software, and analytics, working with cutting-edge AWS technologies including S3, Redshift, DynamoDB, Lambda, APIs, and Glue.

As a Data Engineer, you'll be responsible for analyzing large amounts of business data, developing metrics, and building data solutions that enable Amazon to continually delight customers worldwide. You'll work alongside Product Managers, Software Engineers, Scientists, and Business Intelligence Engineers to automate and scale analysis, making data more actionable for business management at scale.

The DSO team builds sophisticated software systems utilizing Machine Learning (ML/AI/LLM) and economic modeling to address device-related challenges in inventory management, demand forecasting, pricing, and allocation. The team's work directly impacts billions of dollars in allocation decisions across Amazon's diverse product portfolio, including popular devices like Alexa, Kindle, Ring, and Blink.

Key responsibilities include designing and maintaining complex data solutions, participating in code reviews and design discussions, implementing efficient resource utilization, and ensuring data quality. You'll be working with advanced distributed systems concepts and creating scalable, maintainable data architectures.

The ideal candidate will have strong experience in data engineering, particularly with AWS technologies, data modeling, warehousing, and ETL pipeline construction. You'll need to demonstrate expertise in SQL and the ability to work with both relational and non-relational databases.

This role offers the opportunity to make a significant impact on Amazon's device business, working with cutting-edge technologies and contributing to solutions that affect millions of customers worldwide. Join us in building the future of Amazon's device sales and marketing data infrastructure.