Data Engineer, Global Planning, Amazon Leo

Amazon • Arlington, VA

23h

About The Position

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.

Requirements

• 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
• 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.

Nice To Haves

• 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)

Responsibilities

• 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

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed