Posted:20 hours ago|
Platform:
On-site
Contractual
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 checks
• Prepare 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 policies
• Identify recurring issues and report to L3/Platform Engineering
• First level -Analyze driver/executor logs
Skills
• 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 debugging
• Understanding of CI/CD pipelines (Azure DevOps)
• Understanding of Apache Spark, Azure Cloud
Philodesign Technologies Inc
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