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Data Engineer
Data EngineerAmazon • Bellevue, Washington, United States
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Data Engineer

Data Engineer

Amazon • Bellevue, Washington, United States
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.permanent]
[job_card.job_description]

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

DESCRIPTION :

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.

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

    BASIC QUALIFICATIONS :

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

    Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900 / year in our lowest geographic market up to $205,600 / year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. For more information,

    please visit https : / / www.aboutamazon.com / workplace / employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.]]>

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