Senior Data Quality Engineer

Job description

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