Description Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit. Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. 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. You will be responsible to design and implement Data Architecture, using latest AWS services and to develop production level ETL pipelines from external and internal sources / APIs. This role will be instrumental in helping Leo execute on its business plans globally and requires high level of operational excellence with a relentless focus on delivering results. 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. About the team Amazon Leo Global Planning team designs and builds systems that support forecasting, management and optimization of Leo's demand, bandwidth capacity and physical inventory across customer segments and channels, worldwide. Basic Qualifications - 3+ years of data engineering experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience - 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually