ETL Tester

ETL Tester - Data QA Automation Lead (Onsite, 4 days/week - Columbus, OH | Minneapolis, MN | Dallas, TX)

About the Role
Join an innovative Data Lake and Data Warehouse team as an ETL Tester and QA Automation Lead. In this influential role, you'll develop robust test automation frameworks and quality assurance strategies to ensure enterprise data is accurate, reliable, and a true strategic asset. You will collaborate with cross-functional teams, drive continual process improvements, and play a key part in delivering data solutions that meet banking regulatory standards.

Responsibilities

- Lead quality assurance efforts for data ingestion and integration projects, ensuring compliance with regulatory requirements.
- Design, build, and maintain scalable automated testing frameworks and CI/CD pipelines.
- Develop and execute comprehensive test strategies for System Integration Testing (SIT) and support User Acceptance Testing (UAT).
- Collaborate with data engineers, developers, and project managers to ensure end-to-end data quality and traceability.
- Drive continuous improvement of QA processes and methodologies.
- Design and implement automation frameworks to optimize testing efficiency.
- Generate daily and weekly test execution metrics and status reports.
- Support project teams in defect resolution and actively participate in walkthroughs, inspections, and user group meetings.
- Analyze data, troubleshoot issues, and develop action plans to resolve data quality concerns.
- Oversee production implementation verification and validate system quality.

Required Skills and Experience

- Bachelor's degree required.
- Minimum 5 years' ETL testing experience in a data warehouse environment.
- At least 3 years' test automation experience, including leadership of QA Analysts on teams.
- Minimum 2 years' hands-on experience with Snowflake and AWS.
- Strong proficiency with Azure DevOps, Python, AWS S3, Snowflake, Zena, and DataStage.

Preferred Skills

- Financial services or banking industry background.
- Advanced SQL and data warehouse knowledge.
- Hands-on with test automation tools: Cucumber, Selenium, PyTest, DBT tests.
- Experience with cloud data platforms, especially Snowflake and AWS.
- Familiarity with CI/CD tools (Azure DevOps).
- Excellent communication, organizational, analytical, and problem-solving skills.
- Highly motivated with strong attention to detail and ability to prioritize tasks.

Benefits

- Fast-paced, collaborative environment leveraging the latest cloud technologies.
- Career growth through leadership opportunities and cross-functional teamwork.
- Exposure to enterprise-level data engineering and QA best practices.
- Flexible work arrangement: 4 days onsite, 1 remote day weekly.
- Competitive C2C engagement.
- No face-to-face interview required. Background check required.

How to Apply
Ready to drive quality at the forefront of data-driven business transformation? Submit your application today and join a team where your expertise shapes the future of enterprise data.