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    Log Data Engineering - Owings Mills, United States - ektello

    ektello
    ektello Owings Mills, United States

    3 weeks ago

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    Description

    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


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