Description

You will lead quality assurance efforts across the data platform lifecycle, ensuring data integrity and robust test automation.

This role is hybrid.

Responsibilities

• Create and manage test plans and cases using Jira, Confluence, and SharePoint.
• Execute manual and automated tests across Dev, QA, and Prod environments.
• Validate data integrity by performing deep validations on Databricks, Power BI, and Azure data flows.
• Implement automated ETL validation to catch data quality issues early.
• Set up and optimize CI/CD pipelines, ensuring test automation is integrated.

Required Skills

• 5+ years of strong QA engineering experience, including test automation and CI/CD.
• Proven experience testing in Azure environments (Databricks, Azure Functions, Power BI).
• Expertise with SQL for data validation and automated testing.
• Hands-on experience with Jira, Confluence, Git, and SharePoint.
• Strong knowledge of CI/CD practices and GitHub Actions.
• Proficiency in ETL Testing.
• Familiarity with Agile methodologies and sprint-based development.

Key Skills

Education

Bachelor’s degree