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., Outstanding Expectations, Deequ)
- Basic understanding of data governance and metadata management concepts
- Certification in cloud platforms (Azure/AWS/GCP) is a plus

📌 Senior Data Quality Engineer (Pune)
🏢 Epam
📍 Pune