Splunk Data Analytics SME

Splunk Data Analytics SME

Key Required Skills:

Deep understanding of Splunk architecture, proficiency in using Splunk's advanced features, such as dashboards, alerts, and reports, strong analytical skills to interpret complex data sets, identify trends, and derive actionable insights.

• Create consolidated data sets that conform to the Common Information Model (CIM) from various sensor data sources, ensuring they are aggregated and searchable.
• Develop capabilities to aggregate sensor data based on tangible assets (hardware, software, and data) and information systems with business purposes.
• Implement tagging for new data to fit into the Re-Usable Data Assets model for ingestion by IO and CDM dashboards.
• Translate key-value pairs from sensor tools into the required format for data consumption.
• Transform existing data into formats suitable for ingestion by ServiceNow and CDM Elastic files.
• Design and implement data pipelines connecting data sources to the Re-Usable Data Asset model.
• Establish connections between Splunk and the Re-Usable Data Asset model, as well as with ServiceNow and CDM Elastic.
• Develop integrators between Splunk, ServiceNow, and CDM Elastic.
• Build out data warehouses and data models, including tagging data, establishing data pipeline connections, and developing integrations.
• Aggregate various data types and create key-value pairs, including ETL coding and dashboard development.
• Configure notable event actions, action menus, and adaptive responses within Splunk.
• Provide recommendations for data onboarding and normalization processes.
• Maintain strong knowledge of security risk procedures, authentication technologies, and security attack patterns.
• Develop, evaluate, and document specific metrics for management purposes.
• Create dashboards to monitor traffic volumes, response times, errors, and warnings across data centres.
• Monitor web portals, log files, and databases for performance and security.
• Design and develop Splunk solutions for routine operational use.
• Solve complex integration challenges and debug configuration issues.
• Consult with stakeholders to establish and refresh strategic direction in cloud adoption.
• Understand and comply with the CDM technical requirements for the federal government's CDM program.
• Address a wide range of security issues, including architectures, firewalls, electronic data traffic, and network access.
• Design, manage, and maintain enterprise SIEM infrastructure to improve data ingestion processes, ensuring optimal data flow through architectural work on data pipelines.
• Bachelor's degree and 8 years of experience, master's and 5 year of experience or 11+ years in lieu of a degree.
• Extensive experience with Splunk, data analytics, and big data technologies.
• Strong technical and computational skills in engineering, physics, or mathematics.
• Proficiency in coding and developing applications for unstructured and semi-structured data analysis.
• Experience with cybersecurity application development and SIEM technologies.
• Familiarity with cloud-based high-performance infrastructures and data processing techniques.
• Must be able to obtain and maintain a Public Trust. Contract requirement.
• Security certifications (e.g., CISSP, CISM, CompTIA Security+).
• Experience with data pipeline development and integration.
• Knowledge of regulatory requirements and compliance standards relevant to cybersecurity
• Bachelor's degree and 8 years of experience, master's and 5 year of experience or 11+ years in lieu of a degree.
• Must be able to obtain and maintain a Public Trust. Contract requirement.