Data Engineer II, Amazon Leo
✨ AI Summary
Amazon Leo, developing a low Earth orbit satellite broadband network, is hiring a Data Engineer II in Arlington, Virginia. The role focuses on building cloud data infrastructure and ETL pipelines using AWS technologies such as Glue, S3, Redshift, and EMR. Candidates must be U.S. citizens or permanent residents to meet export control requirements.
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As a Data Engineer in Leo's Global Business Operations (GBO), you will be one of the architects and engineers building up the cloud data infrastructure for use across Leo. You will be working directly on AWS to build internal tools used across the hundreds of Business Intelligence Engineers and Scientists to build business-critical reports and ML Models. You will design the data models used by these teams to efficiently dive deep into the business and extract insights. Getting in pre-launch, you have creative influence to drive this engineering direction on a native stack and your outputs will be critical to the success of Leo's ambitious mission.
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.
- Develop and maintain scripts to automate processes to generate structured datasets for forecasting POR and system inputs, with focus on efficiency and scalability
- Build data dictionary, catalog and governance plan and manage and audit all of the registered data via internal mechanisms
- Provide technical guidance and support to data consumers to leverage Global Planning data assets
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
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