Description the Role :
We are seeking an experienced Splunk Expert to join our IT applications team. The role involves designing and implementing scalable Splunk-based monitoring and analytics solutions for infrastructure and business domains, with a focus on Logistics and Manufacturing use cases.
The ideal candidate will have hands-on experience in SPL development, dashboard creation, data integration, and performance optimization, along with the ability to translate complex monitoring requirements into actionable insights.
Key Responsibilities :
- Design and implement monitoring solutions for IT infrastructure and business processes using Splunk.
- Onboard and manage data sources while ensuring data quality, normalization, and completeness.
- Develop and maintain dashboards for Logistics and Manufacturing use cases.
- Create, optimize, and manage SPL queries, reports, and alerts.
- Monitor and maintain Splunk system health, performance, and scalability.
- Perform upgrades, patching, and maintenance of Splunk components.
- Develop and manage data models for efficient search and reporting.
- Integrate external data sources and ensure proper field extraction.
- Manage user roles, access permissions, and onboarding processes.
- Provide user training, documentation, and technical support.
- Collaborate with business teams to define, develop, and implement use cases.
- Support compliance, audit, and data retention Skills & Competencies :
- 3- 6 years of professional experience as a Splunk Expert / Developer.
- Strong proficiency in SPL (Search Processing Language), data integration, and data modeling.
- Hands-on experience in infrastructure monitoring (servers, middleware, applications).
- Expertise in business activity monitoring and dashboard creation.
- Strong conceptual design and problem-solving skills.
- Solid understanding of Logistics and Manufacturing monitoring requirements (preferred).
- Experience in performance optimization and system health management.
- Good communication and collaboration Skills :
- Experience in KPI and metric development for enterprise use cases.
- Familiarity with automation scripts (Python, Shell) for Splunk management.
- Exposure to CI / CD integration for Splunk environments.
- Knowledge of ITIL frameworks and service management practices.
(ref : hirist.tech)