AWS Glue Data Engineer

Exp. Required: 8+ Year’s

Must Have Technical/Functional Skills

Hands-on AWS Glue expertise, including PySpark/Spark ETL development, Crawlers, and Data Catalog

Snowflake experience, including SQL, connectors, and basic administration

Data governance experience using AWS Lake Formation

Eligibility to work on ITAR/export-controlled GovCloud engagements; ship is required

Ability to work on-site in Phoenix, Arizona during the buildout week

Preferred: Snowflake Catalog Federation and/or Iceberg REST Catalog experience

Preferred: Kiro or another agentic IDE for SQL-to-PySpark code conversion

Preferred: Hub-and-Spoke VPC architecture and inspection firewalls, preferably Check Point

Roles & Responsibilities

Design, build, test, and optimize scalable ETL pipelines using AWS Glue and PySpark/Spark

Configure and maintain AWS Glue Crawlers, Data Catalog objects, jobs, workflows, and connections

Integrate AWS Glue workloads with Snowflake using SQL and supported connectors

Implement data access, governance, and security controls with AWS Lake Formation

Collaborate directly with the cloud engineering team to deliver a proof of concept in a GovCloud environment

Convert existing SQL logic into maintainable PySpark code and validate data quality and performance

Document architecture, configuration, deployment steps, test results, risks, and operational handover

Participate in the on-site Phoenix buildout week and support troubleshooting through POC completion

Generic Managerial Skills, If any

Strong written and verbal communication

Ability to work directly with technical stakeholders in a fast-paced POC environment

Ownership of deliverables, risks, dependencies, and timely status reporting