Job Title : L2 Application Support Engineer
Experience : 2-5 years
Location : Mumbai (Ghansoli)
Work Mode : Hybrid
No of Openings - 10
- Perform 24×7 monitoring of Databricks clusters, jobs, workflows, repos, and data pipelines.
- Alert Monitoring and the first level of resolution thereof
- First Level issue troubleshooting / analysis related to ✓ Cluster failures or auto-scaling issues ✓ Job failures
(PySpark / Scala / Spark SQL / Delta Live Tables) ✓ Workspace availability issues
Debug Databricks notebook failures and job errors (Spark, SQL, Delta Lake)Rerun / retrigger failed jobs as per SOP.Monitor data ingestion pipelines (Streaming & Batch).Perform daily health checksPrepare incident summary reports and daily operational dashboards.Escalate high-severity incidents to L3 / Platform Engineering as per SLA.Handle workspace / user access requests as per RBAC policiesIdentify recurring issues and report to L3 / Platform EngineeringFirst level -Analyze driver / executor logsSkills
2–5+ years of experience in Big Data / Cloud Data Platform Support.Hands-on knowledge of Databricks platform (clusters, jobs, repos, MLflow, warehouse)Hands-on experience in UNIX, SQL, and Shell Scripting.Hands-on experience in Spark UI & job debuggingUnderstanding of CI / CD pipelines (Azure DevOps)Understanding of Apache Spark, Azure Cloud