Data Engineer, Global Planning for Leo Satellite Data

Amazon

Bellevue (WA)

On-site

USD 132,100 - 178,800

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Leo Global Planning is seeking a Data Engineer to build enterprise-grade data infrastructure and assets that support Leo's demand science, forecasting models, capacity planning and simulations. You will design Data Architecture using AWS services and develop production-grade ETL pipelines from multiple sources.

You will collaborate with Data Scientists, Software Engineers and Simulation Engineers to create data assets for modeling, system integration and capacity simulations, while

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 SQL experience.

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

Skills

Data engineering
SQL
ETL/ELT
OLAP
Data modeling

Education

Bachelor's degree in a related field

Tools

AWS Redshift
S3
MWAA
EMR
Glue

Job description

Amazon Leo Global Planning is seeking a Data Engineer to build enterprise-grade data infrastructure and assets that support Leo's demand science, forecasting models, capacity planning and simulations. You will design Data Architecture using AWS services and develop production-grade ETL pipelines from multiple sources.

You will collaborate with Data Scientists, Software Engineers and Simulation Engineers to create data assets for modeling, system integration and capacity simulations, while

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