Cloud Data Engineer II: Geospatial & BI Pipelines

Socket.dev; Arlington (VA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

RSUs

Paid time off

Parental leave

Job summary

Amazon Leo is seeking a Data Engineer to help build the cloud data infrastructure for use across Leo. You will work on AWS to create internal tools for BI engineers and scientists to build critical reports and ML models.

You will design data models, ingest and transform geospatial data, and collaborate with teams to ensure scalable, secure data assets across Leo. Based in USA, VA, Arlington, you will help evolve the data architecture while complying with export controls and data governance

Qualifications

• 3+ years of data engineering experience.
• 1+ years of developing large-scale data structures for BI analytics using ETL/ELT.
• 1+ years of BI analytics with OLAP technologies.
• 1+ years of data modeling experience.
• 1+ years with SQL.
• 1+ years of Oracle experience.
• Bachelor's degree in CS, Engineering, Information Systems, Mathematics, or related field.
• Experience with data warehousing and building ETL pipelines.

Responsibilities

• Develop Leo data products, infrastructure and ETL pipelines using AWS big data technologies.
• Collaborate with Data Scientists, Applied Scientists, Software Engineers and Simulation Engineers on data assets for modeling and simulations.
• Improve data architecture for scale, quality and performance.
• Implement data governance for accuracy, consistency and security compliance.
• Automate processes to generate structured datasets for forecasting and system inputs.
• Build data dictionary, catalog and governance plans and audit registered data.

Skills

Data engineering

ETL/ELT pipelines

SQL

Data modeling

OLAP

AWS

Big data

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Glue

S3

Redshift

MWAA

EMR

Lambda

IAM

Job description

Amazon Leo is seeking a Data Engineer to help build the cloud data infrastructure for use across Leo. You will work on AWS to create internal tools for BI engineers and scientists to build critical reports and ML models.

You will design data models, ingest and transform geospatial data, and collaborate with teams to ensure scalable, secure data assets across Leo. Based in USA, VA, Arlington, you will help evolve the data architecture while complying with export controls and data governance