Join Amazon's Data Infrastructure and Strategy group as a Data Engineer, where you'll play a pivotal role in transforming how Operations Finance teams access and analyze data. This position focuses on advancing a 3-Year Data Infrastructure Modernisation strategy and building a unified data access platform with scalable governance frameworks. You'll work with cutting-edge AWS technologies including Spark/EMR, Redshift, Athena, DynamoDB, Lambda, and more.
As part of the WW Operations Finance Standardization and Automation team, you'll improve customer experience and business outcomes through innovative technical solutions. You'll be responsible for end-to-end implementation of platform features, from component design to post-launch support. The role involves working at the systems architecture level, collaborating with various stakeholders including FGBS, BDT, and AWS PLUS technology partners.
The ideal candidate should have extensive experience in AWS engineering and data modeling, with the ability to design both analytical and operational data models. You'll be working in a dynamic environment where you'll solve unstructured customer pain points with technical solutions, focusing on user productivity and data accessibility. The position offers the opportunity to work with modern data architecture concepts and contribute to "buy" vs "build" decisions for new AWS features.
This role combines technical expertise with business acumen, requiring strong communication skills to work with various stakeholders. You'll be part of a team that's pushing the boundaries of data infrastructure modernization, making a significant impact on how Amazon's Operations Finance teams operate globally. The position includes moderate travel opportunities, allowing you to collaborate with teams across different locations, including the EU.