Data Quality Engineer
EPAM Systems, Inc. (company site, opens in a new tab)4–6 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement automated test scripts to validate ETL workflows, data pipelines, and data transformation logic across large datasets and cloud platforms (Azure, AWS, GCP).
- Build reusable and scalable test automation frameworks using Python and SQL, integrating tests into CI/CD pipelines to support continuous testing and delivery.
- Collaborate with data engineers, analysts, and stakeholders to align test strategies with data quality standards and participate in Agile ceremonies for iterative delivery.
Minimum Requirements
- 4-6 years of professional experience in data quality engineering with expertise in ETL automation and Data Warehouse/Data Lake testing.
- Strong proficiency in SQL for data validation and test automation; hands-on experience with Python scripting and framework development.
- Practical experience with test automation frameworks and working knowledge of cloud data services (Azure Data Factory, Azure Databricks, AWS Glue, Lambda, Redshift, GCP BigQuery).
- Familiarity with CI/CD tools (Jenkins, Git, Azure DevOps) and Agile/Scrum methodologies.
Ideal Candidate Profile
- Experienced in cross-cloud data platforms with hands-on automation capabilities and integration of tests into CI/CD workflows for scalable delivery.
- Demonstrates operational ownership by embedding data quality checks within complex data pipelines and collaborating closely with multi-disciplinary teams.
- Comfortable working in Agile environments and contributing actively to sprint planning, retrospectives, and iterative process improvements.