Rezolve Ai
Splunk SME
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Splunk SME with expert-level Splunk experience, strong analytical skills, and familiarity with observability concepts. It requires large-scale data handling experience, knowledge of Splunk architecture, and a contract length of "X months" at a pay rate of "$X/hour".
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 28, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sheffield, England, United Kingdom
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🧠 - Skills detailed
#Datasets #Scala #Observability #Indexing #Splunk
Role description
• Expert-Level Splunk Experience: Proven ability to create advanced dashboards in both Splunk Enterprise and Splunk ITSI.
• Large-Scale Data Handling: Must have experience with high-volume data environments, including the challenges of indexing and searching trillions of records.
• In-Depth Technical Knowledge: A strong understanding of Splunk architecture, data models, and best practices for performance and scalability.
• Observability Mindset: While Splunk is the primary skill, the candidate should also be familiar with modern observability concepts and principles.
• Analytical Thinking: Strong problem-solving skills and the ability to derive meaningful insights from complex datasets are essential
• Expert-Level Splunk Experience: Proven ability to create advanced dashboards in both Splunk Enterprise and Splunk ITSI.
• Large-Scale Data Handling: Must have experience with high-volume data environments, including the challenges of indexing and searching trillions of records.
• In-Depth Technical Knowledge: A strong understanding of Splunk architecture, data models, and best practices for performance and scalability.
• Observability Mindset: While Splunk is the primary skill, the candidate should also be familiar with modern observability concepts and principles.
• Analytical Thinking: Strong problem-solving skills and the ability to derive meaningful insights from complex datasets are essential
