Role overview

Qualifications

Extensive experience in data engineering
Deep understanding of Splunk
Experience writing sophisticated Splunk queries
Experience developing log analytics rules

Responsibilities

Create data connectors
Develop workbooks
Create runbooks
Analyze and interpret large volumes of data

Key facts

Remote from: United States
Full time
English

Hard skills

Splunk Splunk Data Engineering Log Monitoring Data Terminal Equipment Workbooks CRM Runbook Quantitative Analysis

Other skills

Problem Solving

About the company

Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Company details

Company size51 - 200

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Title :Splunk SME Engineer
Location : US remote
Visa Type : USC, GC, H1B

requires
Splunk SME Engineer role requires extensive experience in data engineering and a deep understanding of Splunk, including writing sophisticated Splunk queries, developing log analytics rules, and creating data connectors, workbooks, and runbooks. The ideal candidate will enhance our ability to analyze and interpret large volumes of data to drive insights and improve operational efficiency.