Data Engineer

Amazon•Bellevue, WA

About The Position

Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. 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. 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.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Bachelor's degree

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)
Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding

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