? Hiring: Data Quality Engineer | Pan India

We are looking for experienced Data Quality Engineers with strong expertise in Python, PySpark, Playwright, and Cloud-enabled AI tools to join our team.

If you have a strong background in data quality engineering, automation, data validation, and testing large-scale data pipelines, we would love to connect with you!

? Position Details

- Role: Data Quality Engineer
- Experience: 6–8 Years
- Location: Pan India
- Notice Period: Immediate Joiners to 30 Days
- Key Skills: Python, PySpark, Playwright, Cloud-enabled AI Tools

? Key Responsibilities
- Design, develop, and implement comprehensive data quality and validation frameworks.
- Build automated data validation and testing solutions using Python and PySpark.
- Perform data quality checks across large-scale datasets and data pipelines.
- Develop and maintain automation frameworks using Playwright.
- Validate data for accuracy, completeness, consistency, integrity, and reliability.
- Identify data anomalies, quality issues, and root causes across upstream and downstream systems.
- Automate regression, functional, and data validation testing.
- Leverage cloud-enabled AI tools to enhance testing, automation, and data quality processes.




- Collaborate closely with Data Engineers, Developers, Business Analysts, and other stakeholders.
- Monitor data quality metrics and support continuous improvement initiatives.
- Ensure reliable data delivery across cloud-based data platforms and applications.

? Required Skills ✅ Strong hands-on experience with Python and PySpark

✅ Experience in Data Quality, Data Validation, ETL/Data Pipeline Testing

✅ Hands-on experience with Playwright for test automation

✅ Exposure to Cloud-enabled AI tools and AI-assisted engineering/testing

✅ Strong knowledge of SQL and data validation techniques

✅ Understanding of cloud-based data engineering environments

✅ Experience working with large datasets and distributed data processing

✅ Excellent analytical, debugging, and problem-solving skills

? Preferred Qualifications

- 6–8 years of relevant IT experience with strong exposure to Data Quality Engineering.
- Experience with cloud platforms such as Azure, AWS, or GCP is advantageous.
- Knowledge of CI/CD and automated testing integration is preferred.
- Solid communication and stakeholder-management skills.

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