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Log Data Engineering

4 months ago

Owings Mills, United States ektello Full time

Log Data Engineering - Splunk and Cribl


**Contract, min of 6 months** ONSITE out of Owings Mills, MD offices**


  • Support systems engineering lifecycle activities for large hybrid Splunk and Cribl deployments, including requirements gathering, design, testing, implementation, operations, and documentation.
  • Implementing log data pipelines through automation in Python to ingest logs into log management platforms like Splunk, Open Search
  • Automating platform management processes through Ansible or other scripting tools/languages
  • Troubleshooting incidents impacting the log data platforms
  • Coordinating and collaboration with users of the platform
  • Develop training and documentation materials
  • Support log data platform upgrades including coordinating testing of upgrades with users of the platform
  • Gather and process raw data from multiple disparate sources (including writing scripts, calling APIs, writing SQL queries, etc.) into a form suitable for analysis
  • Enables log data, batch and real-time analytical processing solutions leveraging emerging technologies
  • Build log data pipelines to help with the development and testing of log data engineering


Required Technical Expertise

  • 3-5 years’ experience managing and configuring Splunk Enterprise and/or Splunk Cloud
  • Developing and managing requirements, and making data-driven decisions
  • Experience with Linux and Windows agents (Splunk, Fluentbit/Fluentd) for log data engineering
  • Experience in designing, developing, and deploying cloud-based solutions using AWS
  • Experience in onboarding new data, configuration, creating new dashboards, extracting information through Splunk, Cribl
  • Experience in development of systems for data extraction, ingestion and processing of large volumes of data
  • Demonstrated proficiency with scripting and automation (bash, python, other programming languages)
  • Familiarity with Splunk rest API’s
  • Knowledge of cloud platforms (prefer AWS) and container + orchestration technologies
  • Experience with data pipeline orchestration platforms


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
  • Familiarity with data streaming technologies such as Kafka, Kinesis, spark streaming, etcZoom