Job Title : SME – Application Support (Databricks)
Location : Ghansoli, Mumbai
Work Mode : Onsite
Experience : 6–8 Years
Budget : Up to 27 LPA
Shift : 16×5 Rotational (Morning / Afternoon / General)
Weekend & Night support on need basis
About the Role
We are hiring an experienced SME – Application Support (Databricks) to join our Big Data & Cloud Platform Support team. The ideal candidate will bring strong expertise in Databricks administration, Spark debugging, and Azure cloud support to ensure reliable and high-performing data platform operations.
Key Responsibilities
- Act as First-Level Escalation for 24×7 monitoring of Databricks clusters, jobs, workflows, repos, and data pipelines.
- Troubleshoot and analyze issues related to :
- Cluster failures / auto-scaling problems
- Job failures (PySpark, Scala, Spark SQL, DLT)
- Workspace & availability issues
- Work closely with application development teams to remediate pipeline failures.
- Participate in Sev1 / Sev2 incident resolution and prepare RCA reports.
- Implement workspace governance, RBAC, cluster policies, and data security best practices.
- Ensure compliance with audit and platform governance requirements.
- Build dashboards / logging for job performance, cluster utilization, and failure analytics.
- Maintain SOPs, runbooks, and architecture documentation.
- Identify recurring issues and collaborate with L3 / platform engineering teams.
- Debug complex Spark issues (OOM, long GC cycles, driver / executor failures).
Required Skills
6–10 years of experience in Big Data / Cloud Data Platform Support .Strong SME-level experience with Databricks (clusters, jobs, repos, MLflow, warehouse).Expertise in UNIX, SQL, Shell Scripting , and Azure Cloud .Strong knowledge of Apache Spark and Spark UI / JOB debugging .Experience with CI / CD pipelines using Azure DevOps .Educational Qualification
🎓 B.E / B.Tech / MCA