Data Engineer - Global Planning & Satellite Data

Amazon; Bellevue (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

RSUs

Job summary

Amazon Leo is seeking 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 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

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.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
• 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.

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

ETL/ELT

SQL

Data modeling

Big data

Tools

AWS Redshift

AWS S3

AWS Glue

EMR

Kinesis

Lambda

IAM roles

Job description

Amazon Leo is seeking 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 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