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Splunk Engineer

Salary undisclosed

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Required Technical Expertise

  • 3 years experience managing and configuring Splunk Enterprise and/or Splunk Cloud
  • Experience with Splunk clustered deployment topology
  • Experience with Linux and Windows agents for Splunk administration
  • Experience in designing, developing, and deploying cloud-based solutions using AWS
  • Experience in onboarding new data, configuration, creating new dashboards, extracting information through Splunk
  • Experience with writing or modifying custom Splunk addons
  • Demonstrated proficiency with scripting and automation (bash, python, other programming languages)
  • Familiarity with Splunk rest API s
  • Strong scripting skills (e.g., Python, Bash) for automation and custom development.
  • In-depth knowledge of log management, data onboarding, and SIEM principles.
  • Preferred Technical Experience
  • Splunk Certification (Admin or Architect)
  • Experience with Ansible tower automations
  • Experience using Gitlab
  • Experience with large platform migration efforts
  • Experience with AWS OpenSearch
  • Experience with Cribl
  • Expertise in language such as Java, Python. Implementation knowledge in data processing pipelines using programming languages like Java and Python to extract, transform, and load (ETL) data
  • Create and maintain data models, ensuring efficient storage, retrieval, and analysis of large datasets
  • Troubleshoot and resolve issues related to data processing, storage, and retrieval.
  • 3-5 years Experience in designing, developing, and deploying data lakes using AWS native services (S3, Glue (Crawlers, ETL, Catalog), IAM, Terraform, Athena)
  • Experience in development of systems for data extraction, ingestion and processing of large volumes of data
  • Experience with data pipeline orchestration platforms
  • Experience in Ansible/Terraform/Cloud Formation scripts and Infrastructure as Code scripting is required
  • Implement version control and CI/CD practices for data engineering workflows to ensure reliable and efficient deployments
  • Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana)
  • Proficiency in distributed Linux environments
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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