Geospatial Data Engineer - AWS Cloud & ETL

Amazon; Arlington (VA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Leo in Arlington, VA is hiring a Data Engineer to help build cloud data infrastructure for Leo's Global Business Operations. You will design data models, develop ETL pipelines, and enable BI engineers and scientists to generate reports and ML models.

You will collaborate with data scientists, software engineers and simulations teams, influence data architecture, implement governance, and ensure secure, scalable data assets across Leo pre-launch.

Qualifications

• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale BI analytics ETL/ELT.
• 1+ years of OLAP analytics experience.
• 1+ years of data modeling experience.
• 1+ years of SQL experience.
• 1+ years of Oracle experience.
• 3+ years in the job offered or related occupation.
• 1+ years ETL/ELT processes experience.
• Bachelor's degree or foreign equivalent in CS, Engineering, IS, Mathematics, or a related field.
• Experience with data modeling, warehousing and building ETL pipelines.

Responsibilities

• Develop Leo data products, infrastructure and ETL pipelines to ingest, parse and transform Geospatial datasets using AWS big data technologies.
• Work with Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers to develop data assets for modeling and simulations.
• Improve existing solutions and 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.
• 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

OLAP

Data modeling

SQL

Oracle

BI analytics

Big data

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field

Tools

AWS Redshift

AWS S3

AWS Glue

AWS EMR

AWS Kinesis

AWS Lambda

IAM roles and permissions

Non-relational databases

Job description

Amazon Leo in Arlington, VA is hiring a Data Engineer to help build cloud data infrastructure for Leo's Global Business Operations. You will design data models, develop ETL pipelines, and enable BI engineers and scientists to generate reports and ML models.

You will collaborate with data scientists, software engineers and simulations teams, influence data architecture, implement governance, and ensure secure, scalable data assets across Leo pre-launch.