Data Quality Engineers

🚀 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.
• Strong communication and stakeholder-management skills.