Lead QA Automation for Data Lake & Warehouse

Insight Global

Columbus (OH)

On-site

USD 110,000 - 140,000

Full time

14 days+

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Job summary

Huntington Bank is seeking a QA Test Automation Lead for its Data Lake and Data Warehouse team in Columbus, OH. You will develop automation strategies, frameworks, and CI/CD pipelines, working across Azure DevOps, Python, and cloud data platforms to ensure quality data operations and regulatory alignment.

The role requires 5+ years ETL testing in a data warehouse, 3+ years test automation, and 2+ years leading QA analysts, with strong SQL and data quality focus.

Qualifications

  • Bachelor’s degree
  • 5+ years ETL testing experience in data warehouse environment
  • 3+ years test automation experience
  • 2+ years of experience with Snowflake and AWS
  • 2+ years of experience leading QA Analysts on a project team

Responsibilities

  • Lead QA efforts for multiple data ingestion and integration projects ensuring regulatory alignment.
  • Design, implement, and maintain automated testing frameworks and CI/CD pipelines.
  • Develop and execute SIT and support UAT with the team.
  • Collaborate with data engineers, developers, PMs and compliance to ensure data quality and traceability.
  • Drive QA process improvements and scalable test automation strategies.
  • Provide test metrics and defect resolution guidance throughout the project lifecycle.

Skills

ETL testing
Data warehouse concepts
Test automation
SQL
Data quality

Education

Bachelor's degree

Tools

Snowflake
AWS
Selenium
Cucumber
PyTest
DBT tests
Azure DevOps

Job description

Huntington Bank is seeking a QA Test Automation Lead for its Data Lake and Data Warehouse team in Columbus, OH. You will develop automation strategies, frameworks, and CI/CD pipelines, working across Azure DevOps, Python, and cloud data platforms to ensure quality data operations and regulatory alignment.

The role requires 5+ years ETL testing in a data warehouse, 3+ years test automation, and 2+ years leading QA analysts, with strong SQL and data quality focus.

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