Description

You will lead quality assurance efforts for data ingestion and integration projects within the Data Lake and Data Warehouse team.

Responsibilities

• Design, implement, and maintain automated testing frameworks and CI/CD pipelines for data operations.
• Develop and execute comprehensive test strategies covering SIT and partnering on UAT.
• Collaborate with data engineers and developers to ensure data quality, integrity, and traceability.
• Drive continuous improvement in QA processes and create execution metrics/status reporting.
• Analyze data, troubleshoot issues, and collaborate on defect analysis and triage.

Required Skills

• 5+ years of experience in QA or related data testing roles.
• Strong experience with SQL, ETL testing, and data warehouse concepts (star/snowflake schema, OLAP).
• Proficiency in Python, Azure DevOps, AWS S3, Snowflake, DataStage, Zenal, Cucumber, Selenium, or Pytest.
• Experience designing and implementing scalable test automation frameworks.
• Familiarity with CI/CD tools and data ingestion lifecycles.
• Ability to participate in requirements review, design specification review, and defect triage meetings.
• Strong analytical, organizational, and problem-solving skills.

Key Skills

Education

Any Graduate