Job ID :
17922
Company :
Internal Postings
Location :
WASHINGTON, DC
Type :
Contract
Duration :
6 Months
Salary :
Open
Status :
Active
Openings :
1
Posted :
29 Oct 2018
Job Seekers, Please send resumes to resumes@hireitpeople.com
Splunk Knowledge Management Specialist III

Position Overview
This department provides operations and solutions support for various ITS services like Server infrastructure (Windows, *Nix, VMware), Systems Security Compliance, Backup, Storage and handles Data Center infrastructure in HQ and over 140 CO locations across the globe. To ensure that the ITS Global Infrastructure is supported in a cost effective, efficient and effective manner the unit is embarking on creating an operational intelligence unit to effectively capture, store, correlate, and analyze machine-generated data for gaining new operational visibility and discovering insights for IT and the business. Analyze real-time data feeds of infrastructure and operational activity, Track processes across systems / services to resolve problems and help correlate events from myriad data sources

Essential Job Functions:
  • Have in-depth knowledge of Splunk Enterprise Architecture and Administration.
  • Architect and build a data platform over Big Data (Using Splunk).
  • Work with Splunk Enterprise Admins in all phases of getting data into Splunk (from Pre-indexing to post indexing statistical data analysis).
  • Plan Deployment Strategies (System Architecture, workflow, failover scenarios, testing modules).
  • Collaborate with multiple tools, appliances, application teams with Splunk nodes for providing platform support for applications in an agile environment.

Business Intelligence Model& IT Operations
  • ROI for every tool monitored by Splunk.
  • Production Farm Operational Intelligence.

Systems and Event Management (Using various logs)
  • External Python Scripting to modify the complex searches with enhanced costumed outcomes.
  • Perform Infrastructure Monitoring & Automation to gain system insights through predictive analysis.
  • Assist in Data Governance & Management of data.
  • Work with various teams to identify and capture relevant logs, assist the infrastructure team with onboarding data, and developing use-cases around the collected data.
  • The Splunk Specialist will have the ability to communicate within all levels of staff and provide documentation.
  • Aid in system tuning and review.
  • Advise on new system upgrades and implementations.
  • Interface with Project Leads and Developers to design and create new models and assist on deliveries.

Educational Qualifications and Experience:
  • Bachelor's degree preferably in Computer Science Engineering, IT, Math
  • Minimum 3 years advanced experience in Big Data Analysis using Splunk

Preferred Certification Requirements:
  • Splunk Administration Certification and Power User

Required Skills/Abilities:
  • Expert in Splunk search language and be able to create and optimize complex big data correlations.
  • Expert in Splunk and Splunk Enterprise architecture to design, implement, and troubleshoot deployment, maintenance, and upgrade solutions for deployments of Enterprise Management.
  • Experience in knowledge object creation and usage across the Enterprise, Normalization of event data, and Management of knowledge objects, data models and developing macros.
  • Experience with Python or other scripting language (Perl, Shell).
  • Excellent workload modeling skills.
  • Ability to build Business & operational Intelligence System.
  • Experience Administering Splunk Infra structure

Desired Skills/Abilities:
  • Excellent Verbal and Written communications.
  • Solid understanding of how multi-tier environments function, (specifically how they communicate).
  • Excellent understanding of (relevant) communication protocols.
  • Good understanding of Operating Systems, Networks, hardware and related issues.
  • Ability to report results graphically and verbally.
  • Solid ability to analyze results and find bottlenecks.
  • Solid ability to create "ad-hoc " tests to exploit areas of suspect performance
    Must be self-motivated and be able to learn and adopt new technologies quickly.