Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services, ensuring SLA compliance and the timely resolution of Incidents, failures and performance bottlenecks.

· Proactively monitor platform health, performance, and SLAs using Databricks monitoring, logging and alerting, to minimize downtime and data issues.

· Perform root cause analysis and implement long term fixes that prevent recurring issues and improve overall operational reliability.

· Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement improvements, automate operations, and drive continuous enhancement of data/ML platform reliability.

· Contribute to platform automation, CI/CD for data/ML pipelines.





· Provide support for tools that are owned by Enterprise Data Management.

· Develop and maintain code enhancements, automation scripts that support both data engineering and operational needs.

· Provide after-hours support for critical systems and applications.

· Develop and maintain documentation, runbooks, and operational standards.

· Strong experience in SQL, Python and PySpark

· Extensive hands-on experience with Azure Databricks with Unity Catalog, ADF, ADLS

· Excellent problem-solving skills and attention to detail.

· Solid communication and collaboration abilities across technical and non-technical teams.

📌 Lead Data Operations Engineer (Bengaluru)
🏢 Tavant
📍 Bengaluru