DataEngineer,SellingPartnerInsightsandAnalytics

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. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with an uncanny knack and passion for developing data intensive applications, then you are the right candidate for our team. Join us at the Central analytics Team of Amazon's Selling Partner (SP) Support Org and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, and big focus on AI/LLM, you will have the opportunity to make a meaningful impact on the way data is accessed across SPS. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce Key job responsibilities As a Data Engineer in the Selling Partner (SP) Support Organization, you will work in one of its most dynamic and challenging spaces. You will design, implement and support scalable data infrastructure solutions that integrate diverse data sources, aggregate and curate data for reporting, analysis and LLM models. Working with native AWS technologies, you will create pragmatic solutions while maintaining appropriate complexity levels. Your role requires excellent business and communication skills to collaborate effectively with business owners and technical leaders. You will gather infrastructure requirements, design data architecture, and build data pipelines and datasets to meet business needs. Additionally, you will be responsible for creating coherent logical data models that drive physical design. In this role, you will focus on designing scalable architectures for robust applications and pipelines. You will need to make appropriate trade-offs, reuse where possible, and be judicious about introducing dependencies. Staying current with emerging technologies and implementing them whe