Data Engineer II, Selling Partner Insights and Analytics

Amazon's Selling Partner Insights and Analytics (SPIA) organization is seeking an experienced Data Engineer (DE) who will be a key contributor in architecting and building data platforms that directly impact sellers experience on Amazon. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate diverse data sources, aggregate, and curate data for reporting, analysis, machine learning models, and ad-hoc data requests. You'll work with cutting-edge AWS big data technologies and collaborate with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, and build data pipelines to meet business needs.

Key responsibilities include:

• Designing, implementing, and supporting data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena, etc.
• Improving existing solutions and developing next-generation Data Architecture to enhance scale, quality, timeliness, coverage, monitoring, and security.
• Developing new data models and end-to-end data pipelines.
• Leading design reviews for other Data Engineers and actively participating in design reviews.

This role offers the opportunity to make a meaningful impact on how sellers engage with Amazon's platform and shape the future of e-commerce. You'll have access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals.

Join the Central analytics Team of Amazon's Selling Partner (SP) Support Org and be part of a global team that's driving innovation and solving complex problems in one of the most challenging and growing spaces of e-commerce.