Data Engineer, CMT Dataplatform & Analytics

Amazon, Earth's most customer-centric company, offers low prices, vast selection, and convenience through its world-class e-commerce platform. The Competitive Pricing team ensures customer trust through optimal pricing across all Amazon marketplaces. Within this organization, our Data Engineering team, part of the Pricing Big Data group, builds and maintains the global pricing data platform. We enable price competitiveness by processing data from multiple sources, creating actionable pricing dashboards, providing deep-dive analytics capabilities, and driving operational efficiency.
As a Data Engineer, you will collaborate with technical and business teams to develop real-time data processing solutions. You will lead the architecture, design, and development of the pricing data platform using AWS technologies and modern software development principles. Your responsibilities will include architecting and implementing automated Business Intelligence solutions, designing scalable big data and analytical capabilities, and creating actionable metrics and reports for engineers, analysts, and stakeholders.
In this role, you will partner with business leaders to drive strategy and prioritize projects. You'll develop and review business cases, and lead technical implementation from design to release. Additionally, you will provide technical leadership and mentoring to the data engineering team. This position offers an opportunity to make a significant impact on Amazon's pricing strategies and contribute to the company's continued growth and evolution in the e-commerce space.

Key job responsibilities

• Design, implement, and maintain data infrastructure for enterprise-wide analytics
• Extract, transform, and load data from multiple sources using SQL and AWS big data technologies
• Build comprehensive domain knowledge of Amazon's business operations and metrics
• Write clear, concise documentation and communicate effectively with stakeholders across teams
• Deliver results independently while meeting deadlines
• Collaborate with engineering teams to solve complex data challenges
• Automate reporting processes and develop self-service analytics tools for customers
• Research and implement new AWS technologies to enhance system capabilities