Data Engineer, Global Planning, Amazon Leo

Amazon Inc.; Omaha, Northern (NE, KY); Hybrid; USD 132,000 - 179,000; Full time

Job summary

Amazon Leo, the Global Planning data team at Amazon, is seeking a Data Engineer to develop data products, ETL pipelines and governance for geospatial datasets. You will work with scientists and software engineers to support forecasting and capacity simulations across the Leo network.

You will improve data architecture, ensure data quality and scale, and automate processes for efficient data generation. Experience with AWS data services and large-scale BI analytics is essential for this role.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of ETL/ELT processes for BI analytics.
• 1+ years of OLAP analytics and data modeling experience.
• 1+ years of SQL development and operation on large-scale data structures.
• Familiarity with AWS data services.

Responsibilities

• Develop Leo data products, infrastructure and ETL pipelines for geospatial datasets using AWS big data techs.
• Collaborate with data scientists and engineers for modeling and simulations.
• Improve data architecture for scale, quality and performance.
• Implement data governance to ensure data accuracy and security compliance.
• Automate data processes to generate structured datasets for forecasting and system inputs.
• Build data dictionary, catalog and governance plan; audit registered data.
• Provide guidance to data consumers on data assets.

Skills

Data engineering

SQL

Data modeling

ETL/ELT

OLAP analytics

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

IAM

Job description

Data Engineer, Global Planning, Amazon Leo

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.

Key job 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 plans 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

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.

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.

USA, WA, BELLEVUE - 132,100.00 - 178,800.00 USD annually

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 .