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Splunk Engineer

TalentAnytime Inc

 

Charlotte, NC, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Hybrid
Openings: 1
Category: Splunk Engineer
Tenure: No Preference/Any
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Description

In this role, you will analyze large volumes of application and system logs within Splunk to uncover meaningful patterns, correlations, and anomalies. You will perform deep-dive investigations on log data to derive operational and business insights, translating raw log data into actionable information that supports monitoring, reporting, and decision-making.

Responsibilities:

  • Analyze large volumes of application and system logs within Splunk to uncover meaningful patterns, correlations, and anomalies
  • Perform deep-dive investigations on log data to derive operational and business insights
  • Identify key indicators, metrics, and signals relevant to use cases (e.g., user activity, system events, application behavior)
  • Write and optimize complex SPL (Search Processing Language) queries to extract, transform, and aggregate log data
  • Design and develop interactive dashboards and visualizations in Splunk
  • Translate business requirements into intuitive visual representations (KPIs, trends, drilldowns)
  • Convert raw log data into actionable insights that support monitoring, reporting, and decision-making
  • Collaborate with business and technology teams to define metrics and success indicators
  • Continuously enhance insights based on evolving requirements and feedback
  • Structure and prepare curated datasets derived from Splunk searches for downstream consumption
  • Reduce manual effort by embedding intelligence into dashboards and data outputs

Requirements:

  • Strong hands-on experience with Splunk (search, dashboards, reporting)
  • Advanced proficiency in SPL (Search Processing Language)
  • Strong analytical thinking with ability to interpret complex log data
  • Experience in building dashboards and data visualizations
  • Knowledge of event/log data structures and application behavior patterns

Desired skills:

  • Experience in observability, monitoring, or analytics-driven automation use cases
  • Familiarity with data extraction techniques (e.g., scheduled searches, API-based outputs)
  • Understanding of enterprise reporting and data consumption patterns

Education

Any Graduate

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