Data Quality Engineer

We are looking for a Data Quality Engineer to strengthen data reliability through automated testing of ETL/ELT and DWH/DB flows. You will use SQL and Python to validate large datasets develop test automation frameworks and connect checks to CI/CD across Azure AWS and GCP.

• Develop and run automated tests that validate ETL workflows and data pipelines
• Perform end-to-end reconciliation and DWH/DB testing across high-volume datasets
• Coordinate with data engineers analysts and stakeholders to define test approaches and uphold data quality standards
• Create scalable reusable Python and SQL-based test automation frameworks
• Embed automated test execution into CI/CD pipelines for continuous testing and delivery
• Verify transformation logic and data completeness across Azure AWS and GCP
• Participate in sprint planning retrospectives and story grooming as part of Agile ceremonies

• 4-6 years of relevant experience in ETL automation plus Data Warehouse/Data Lake testing
• Proficiency in SQL to create automated validations and support data quality testing
• Working knowledge of Python for scripting and building automation framework components
• Experience using at least one Test Automation Framework
• Exposure to cloud data services including Azure (ADF ADB) AWS (Glue Lambda Redshift) and GCP (BigQuery)
• Understanding of CI/CD practices and tools such as Jenkins Git and Azure DevOps
• Comfort with Agile/Scrum ways of working in delivery teams

• Hands-on experience with Great Expectations Deequ or similar data observability/data quality tools
• Introductory understanding of data governance and metadata management
• Relevant cloud certifications (Azure/AWS/GCP)