Job Title: Azure Data Factory, MySQL

Location: Chennai, TN
Experience: 8–10 Years

Role Description

- 3+ years of experience writing and optimizing SQL against large datasets.
- 1+ year working with automated data profiling output from DQLabs or a comparable platform to drive rule design and threshold decisions.
- Familiarity with Databricks (Spark SQL) to query monitored data sources and verify rule results.
- 2+ years of experience implementing data quality rules, checks, or validation logic.
- Direct experience with DQLabs or comparable data quality/observability platforms such as Collibra DQ, Informatica DQ, Great Expectations, or Monte Carlo is preferred.
- Understanding of data quality dimensions including completeness, accuracy, validity, consistency, timeliness, and uniqueness.




- Familiarity with Git and structured change management for promoting rules across environments.
- Strong analytical and troubleshooting skills.
- Solid written English communication for documenting rules and explaining alert behavior to non-technical, US-based Business Data Stewards.

Nice to Have

- Experience with insurance data such as policy, claims, billing, premium, or regulatory reporting data.
- Exposure to data governance concepts such as data stewardship, data domains, and business glossaries.
- Experience with Azure data services such as Azure SQL, Azure Data Factory, and ADLS.
- Familiarity with Python for data analysis or automation.
- Experience measuring and reporting data quality metrics and trends.

📌 Azure Data Engineer (Chennai)
🏢 Tekskills
📍 Chennai