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My customer, an international organization located in Washington, DC has a 6-month contract position available for a Splunk Architect.
Key Responsibilities:
- 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.
- Design experience in enterprise-scale implementation of Splunk in AWS.
- Hands-on experience in Splunk App for AWS.
- Required Experience:
- Minimum 3 years advanced experience in Big Data Analysis using Splunk
- Splunk Certification
- 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
- Strong Dev Op's knowledge
- Experience with any of the Big Data Tools apart from Splunk Enterprise Admin developer & architecture, ex: Hadoop (Pig, Hive, MaHout, MapReduce Algorithm, Matlab, OpenStack, Open shift, etc
- 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.
