Data Quality Engineer

Python + ETL Automation

Location: Bengaluru

Experience: Demonstrated experience in data quality engineering, ETL/DWH testing, and test automation, with the capability to lead quality-engineering initiatives and coordinate a mid-sized QA team.

Role Overview The Data Quality Engineer will design and implement robust test automation for data pipelines and data warehouse solutions. The role combines hands-on engineering, quality governance, stakeholder collaboration, and team coordination in an agile delivery environment.

Core Responsibilities

- Design, develop, and maintain automated tests for data pipelines using Python or PySpark.
- Validate ETL and data warehouse workflows through comprehensive data, integration, and regression testing.
- Use SQL to analyze source and target data, identify discrepancies, and verify transformation logic.
- Read, understand, and modify stored procedures, preferably in Oracle environments.
- Create and maintain BDD-based test automation using Cucumber or a comparable framework.
- Integrate automated testing into CI/CD pipelines using Azure DevOps with Jenkins or GitLab Runner.
- Define and promote quality-engineering best practices, standards, and policies at program level.
- Troubleshoot complex quality-engineering issues and use production data to identify improvement opportunities.
- Monitor, review, and support adherence to quality-assurance policies and procedures.




- Coordinate a mid-sized QA team working across multiple products.
- Partner with client and delivery stakeholders and act as a liaison between the quality-engineering team and stakeholder groups.
- Contribute to agile ceremonies and apply effective QA practices throughout the delivery lifecycle.

Required Skills and Qualifications
- Strong hands-on experience in data testing with Python or PySpark.
- Deep understanding of data-testing concepts, with emphasis on ETL.
- Hands-on experience in ETL/DWH testing and SQL using an RDBMS.
- Experience with relational databases, preferably Oracle, including stored-procedure analysis and modification.
- Robust experience with BDD using Cucumber or a similar framework.
- Experience integrating automated testing into CI/CD pipelines using Azure DevOps, Jenkins, or GitLab Runner.
- Hands-on experience with one or more programming languages, such as Java or JavaScript.
- Strong problem-solving, data-analysis, and review skills.
- Knowledge of Jira and Zephyr for test management.
- Proficient software-testing experience in an agile environment.

Additional Requirements
- Strong hands-on expertise in test automation and automation-framework design.
- Effective written and verbal communication skills, with the ability to collaborate professionally across technical, client, and business teams.

📌 Senior Automation Engineer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru