Senior Splunk Data Engineer

7 - 10 years

20 - 22 Lacs

Posted:None| Platform: Naukri logo

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Job Type

Full Time

Job Description

Senior Splunk Data Engineer

This is a key engineering role where you will collaborate closely with security, DevOps, and SRE teams to ensure visibility, uptime, and operational intelligence across distributed systems.

Key Responsibilities

  • Design, architect, and implement scalable Splunk deployments in cloud or hybrid environments.
  • Build and manage log ingestion pipelines using Splunk Universal Forwarders, HEC, syslog, and third-party connectors.
  • Create and optimize SPL queries, dashboards, scheduled reports, and alerting mechanisms to support infrastructure and application monitoring.
  • Automate log onboarding, parsing, field extractions, and tagging using scripts (Python, Shell).
  • Integrate Splunk with cloud platforms such as AWS (CloudTrail, CloudWatch), Azure Monitor, and GCP Logging.
  • Perform system tuning, indexing strategy planning, and data lifecycle management (retention/archival).
  • Collaborate with developers and infrastructure engineers to onboard new services and improve observability coverage.
  • Ensure security and compliance alignment using frameworks such as MITRE ATT&CK, NIST, and GDPR.
  • Participate in incident response, root cause analysis, and continuous service improvement.

Required Skills:

  • Splunk Enterprise / Cloud
  • SPL (Search Processing Language)
  • Data Onboarding and Field Extraction
  • Python / Shell scripting
  • AWS / Azure / GCP integration
  • Infrastructure Monitoring
  • SIEM & Security Analytics
  • Log Forwarding (UF, HEC, Syslog)
  • Dashboard & Alert Development
  • ITSI (preferred)
  • Performance Tuning & Capacity Planning

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