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SME – Application Support (Databricks)
SME – Application Support (Databricks)Philodesign Technologies Inc • Rajkot, IN
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SME – Application Support (Databricks)

SME – Application Support (Databricks)

Philodesign Technologies Inc • Rajkot, IN
21 hours ago
Job description

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

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