Data Engineer, Forecasting Core Data Engineering

Amazon's Forecasting team is seeking a Data Engineer to join their pioneering efforts in demand analysis and forecasting. This role focuses on building scalable data transformation pipelines that power machine learning models for worldwide Amazon demand prediction. The position offers an opportunity to work with cutting-edge technology and solve complex technical challenges in data engineering.

As a Data Engineer, you'll be responsible for creating and maintaining big data sources that support machine learning models, data scientists, and business intelligence engineers. The role requires expertise in building high-scalable ETLs with EMR-based applications and supporting them on Glue ETL or Redshift. You'll work with various data sources and tools, utilizing AWS services and Amazon's internal infrastructure to process and transform data at scale.

The ideal candidate should have strong analytical skills and deep knowledge of schema, metadata, and data structures in the big data ecosystem. You'll be working in a fast-paced environment where innovation and change are constant, requiring adaptability and the ability to quickly understand and measure data disparities. The role offers significant scope for impact and growth, working alongside cross-functional teams to drive critical business initiatives.

This position at Amazon provides an opportunity to work with one of the world's most sophisticated forecasting systems, helping to predict and optimize demand across Amazon's global operations. You'll be part of a team that directly influences business decisions through data-driven insights and solutions. The role combines technical expertise with business impact, making it ideal for someone who enjoys solving complex problems and working with large-scale data systems.