Splunk Engineer

Excellent Pro Group , Inc.
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 104K

Job location

Remote

Tech stack

Data analysis
Cloud Computing
JSON
Log Analysis
Regular Expressions
Unstructured Data
XML
Reliability of Systems
Splunk

Job description

  • Design, build, and maintain Splunk dashboards, reports, and alerts to support operational, security, and business monitoring needs
  • Develop and optimize SPL (Search Processing Language) queries for efficient searches, reports, and visualizations
  • Create and maintain field extractions (regex, delimiter-based, calculated fields) for structured and unstructured data
  • Work with stakeholders to understand reporting requirements and translate them into Splunk solutions
  • Build scheduled reports and alerts with appropriate thresholds and actions (email, webhook, etc.)
  • Support onboarding of new data sources by validating data quality and ensuring proper parsing and indexing
  • Familiarity with monitoring and alerting concepts
  • Partner with application and infrastructure teams to improve system reliability and availability
  • Assist with Root Cause Analysis (RCA) using log, metric, and event correlations in Splunk
  • Maintain documentation for dashboards, reports, and searches

Requirements

10+ years overall Technology experience 2-3 years of hands-on experience with Splunk 2-3 years of log analysis, SRE work, * 10+ years overall Technology experience

  • 2-3 years of hands-on Splunk experience (Splunk Enterprise or Splunk Cloud)
  • 2-3 years of log analysis, SRE work
  • Strong knowledge of SPL, including stats, timechart, transaction, eval, rex, lookup, mv commands
  • Experience building: Interactive dashboards, Drilldowns, Scheduled and ad-hoc reports
  • Solid experience with field extractions using: Regex (rex), Search-time extractions, Lookups (CSV, KV store - basic)
  • Understanding of: Indexes, sourcetypes, hosts, Search-time vs index-time concepts
  • Familiarity with JSON, XML, CSV, and log formats
  • Basic understanding of Linux/Unix commands for log analysis
  • Ability to analyze data and present insights in a clear visual format

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