Data Engineer, Global Planning, Amazon Leo

We are looking for a Data Engineer in Leo's Global Planning team to build enterprise-grade data infrastructure and data assets that will support Leo's Demand Science & Forecasting models and capacity planning & simulation systems. Key job responsibilities In This Role, You Will Develop Leo data products, infrastructure and ETL pipelines to ingest, parse and transform Geospatial datasets from external & internal APIs using AWS big data technologies (Glue, S3, Redshift, MWAA, EMR, Data Zone, Lambda, etc.) Work alongside Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers to develop appropriate data assets for statistical modeling, system integration and capacity simulations Improve existing solutions and come up with next generation Leo's Data Architecture to improve scale, quality and performance Implement data governance best practices to ensure data accuracy, consistency, and compliance with security and privacy regulations.