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.