QA Analyst

QA Test Automation Lead – Data Lake & Data Warehouse

We are seeking a QA Test Automation Lead to support data lake and data warehouse initiatives that enable the business to leverage data as a strategic asset. In this role, you will develop automation strategies, frameworks, and testing practices while partnering with technology teams across the enterprise. Key technologies include Azure DevOps, Python, AWS S3, Snowflake, Zena, and DataStage.

Key Responsibilities

• Lead QA efforts for data ingestion and integration projects, ensuring compliance with regulatory standards.
• Design, implement, and maintain automated testing frameworks and CI/CD pipelines.
• Develop and execute test strategies, including SIT and support for UAT.
• Partner with engineering, development, project, and compliance teams to ensure data quality and traceability.
• Drive continuous improvement in QA processes and automation.
• Produce test execution metrics and reporting.
• Support defect resolution and participate in walkthroughs and requirement/design reviews.
• Analyze and troubleshoot data quality issues and support production implementation verification.
  
  
  

Basic Qualifications

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

Preferred Qualifications

• Experience in financial services
• Strong SQL, ETL testing, and data warehousing knowledge
• Experience with automation tools (Cucumber, Selenium, PyTest, DBT tests)
• Familiarity with CI/CD (Azure DevOps)
• Strong communication, organizational, and problem-solving skills