Job ID :
16734
Company :
Internal Postings
Location :
WASHINGTON, DC
Type :
Contract
Duration :
long term
Salary :
Open
Status :
Active
Openings :
1
Posted :
21 Sep 2018
Job Seekers, Please send resumes to resumes@hireitpeople.com
Position Overview:

The client 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 client's 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:

The individual in this role will:
  • 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 in order 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.