Senior Data Quality Engineer

We are seeking a highly skilled and detail-oriented Data Quality Engineer (Automation) to join our data engineering team. The ideal candidate will have a strong background in ETL automation, data warehouse testing, and cloud data services, along with hands-on experience in test automation frameworks and CI/CD practices. 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 Experience working with data observability or data quality tools (e.g., Great Expectations, Deequ) Basic understanding of data governance and metadata management concepts Certification in cloud platforms (Azure/AWS/GCP) is a plus