Live opening · Posted 10 days ago

Data Quality Engineer

Tata Consultancy Services (TCS) · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 10 days ago
CompanyTata Consultancy Services (TCS)
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
Listed10 days ago

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About the role

Description supplied by the original job listing.

Hiring: Data Quality Engineer (Python / PySpark / Playwright / Cloud AI Tools) | PAN India | Immediate to 30 Days
🚀 We're Hiring: Data Quality Engineer
📍 Location: PAN India
💼 Experience: 6 to 8 Years
⏰ Notice Period: Immediate to 30 Days
We are looking for a highly skilled Data Quality Engineer with expertise in Python, PySpark, Playwright, Cloud Technologies, and AI-enabled data quality solutions. The ideal candidate will be responsible for ensuring data accuracy, consistency, integrity, and reliability across enterprise data platforms.
Key Responsibilities:
✅ Design, develop, and implement automated data quality validation frameworks
✅ Develop data quality checks and monitoring solutions using Python and PySpark
✅ Build automated testing and validation workflows using Playwright
✅ Perform data profiling, data reconciliation, and root cause analysis
✅ Ensure data quality across cloud-based data platforms and data pipelines
✅ Leverage AI-enabled tools for anomaly detection, data validation, and quality monitoring
✅ Collaborate with Data Engineers, Data Analysts, and Business Stakeholders to define data quality standards
✅ Monitor data health metrics and generate quality reports and dashboards
✅ Identify and resolve data quality issues across structured and unstructured datasets
✅ Drive data governance, compliance, and quality best practices
Required Skills:
🔹 Strong hands-on experience in Python Development
🔹 PySpark for large-scale data processing and validation
🔹 Playwright Test Automation Framework
🔹 Data Quality Engineering & Data Validation
🔹 SQL and Database Testing
🔹 Cloud Platforms (Azure/AWS/GCP)
🔹 ETL/Data Pipeline Testing
🔹 Data Profiling, Data Lineage & Data Governance
🔹 AI-enabled Data Quality & Monitoring Tools
🔹 API Testing and Automation
Preferred Skills:
✔ Experience with Databricks, Snowflake, or Big Data Technologies
✔ Exposure to Generative AI and Machine Learning-based data quality solutions
✔ Knowledge of CI/CD pipelines and DevOps practices
✔ Experience with data observability tools
✔ Agile/Scrum delivery experience
Why Join Us?
🌟 Work on next-generation cloud and AI-driven data platforms
🌟 Opportunity to build enterprise-scale data quality solutions
🌟 Exposure to modern data engineering and automation technologies
🌟 Collaborative work environment with strong career growth opportunities
📩 Interested candidates, please share your updated resume with:
Total Experience | Relevant Experience | Current CTC | Expected CTC | Notice Period | Current Location

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