Senior Data Quality Engineer

Responsibilities

• Design, develop, and execute automated test scripts for validating ETL workflows and data pipelines
• Perform end-to-end data validation, reconciliation, and DWH/DB testing across large datasets
• Collaborate with data engineers, analysts, and stakeholders to define test strategies and ensure data quality standards are met
• Develop reusable and scalable test automation frameworks using Python and SQL
• Integrate automated tests into CI/CD pipelines to ensure continuous testing and delivery
• Validate data transformation logic and completeness across different cloud platforms (Azure, AWS, GCP)
• Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and story grooming

Requirements

• Experience: 5.5 + Years
• Strong hands-on experience in ETL automation and Data Warehouse/Data Lake testing
• Proficient in SQL for data validation and test automation
• Good knowledge of Python for scripting and framework development
• Experience with one or more Test Automation Frameworks
• Exposure to Cloud Data Services across major platforms
• Azure (ADF, ADB)
• AWS (Glue, Lambda, Redshift)
• GCP (BigQuery)
• Understanding of CI/CD tools and practices (e.g., Jenkins, Git, Azure DevOps)
• Familiarity with Agile/Scrum methodologies

Nice to have