L2 Application Support Engineer

Optimum Data Analytics; Maharashtra; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading data analytics firm in India is seeking a Mid-Senior level Application Support Engineer to perform 24×7 monitoring of Databricks clusters and handle first-level troubleshooting for job failures. The ideal candidate should have 2–5+ years of experience in Big Data support, with strong knowledge of UNIX, SQL, and the Databricks platform. The role offers full-time employment in the Information Technology sector.

Qualifications

• 2–5+ years of experience in Big Data / Cloud Data Platform Support.
• Hands-on knowledge of Databricks platform (clusters, jobs, repos, MLflow, warehouse).
• Understanding of CI/CD pipelines and Azure DevOps.

Responsibilities

• Perform 24×7 monitoring of Databricks clusters and jobs.
• Alert monitoring and first-level resolution actions.
• Debug Databricks notebook failures and job errors.

Skills

Big Data / Cloud Data Platform Support

Databricks platform

UNIX

SQL

Shell Scripting

Spark UI & job debugging

CI/CD pipelines (Azure DevOps)

Apache Spark

Azure Cloud

Job description

Responsibilities

• Perform 24×7 monitoring of Databricks clusters, jobs, workflows, repos, and data pipelines.
• Alert monitoring and first-level resolution.
• First level issue troubleshooting/analysis for cluster failures, auto-scaling issues, and job failures.
• Debug Databricks notebook failures and job errors (Spark, SQL, Delta Lake).
• Rerun/retrigger failed jobs 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 per RBAC policies.
• Identify recurring issues and report to L3/Platform Engineering.
• Analyze driver/executor logs as first level.

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, Shell Scripting.
• Hands on experience in Spark UI & job debugging.
• Understanding of CI/CD pipelines (Azure DevOps).
• Understanding of Apache Spark, Azure Cloud.
• SQL, Shell scripting, Unix, Spark UI, Big Data.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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