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Log Data Engineering Consultant - Owings Mills, MD (Hybrid - 2 days onsite)

Georgia Tek Systems

  • Owings Mills, MD
  • 29 days ago

    Highlights

    Roles and Responsibilities: Support the full systems engineering lifecycle for large hybrid Splunk and Cribl deployments, including requirements gathering, design, testing, implementation, operations, and documentation. Implement automated log data pipelines using Python to ingest logs into platforms like Splunk and Open Search.

    Numbers & Facts

    LocationOwings Mills, MD

    Description

    Log Data Engineering Consultant
    Location: Owings Mills, MD (Hybrid - 2 days onsite)
    Duration: 12 Months
    Pay Rate: DOE

    US Citizens and Green cards are Preferred.

    Roles and Responsibilities:
    • Support the full systems engineering lifecycle for large hybrid Splunk and Cribl deployments, including requirements gathering, design, testing, implementation, operations, and documentation.
    • Implement automated log data pipelines using Python to ingest logs into platforms like Splunk and Open Search.
    • Automate platform management processes using Ansible or other scripting tools and languages.
    • Troubleshoot incidents impacting the log data platforms, ensuring minimal downtime.
    • Collaborate and coordinate with users to optimize platform performance and usability.
    • Develop comprehensive training and documentation materials to support platform users.
    • Support platform upgrades, coordinating and testing new versions with users.
    • Gather and process raw data from multiple sources, transforming it into a suitable format for analysis.
    • Enable log data batch and real-time analytical processing solutions using emerging technologies.
    • Build robust log data pipelines to aid in the development and testing phases of log data engineering projects.
    Experience and Skills:
    • Strong troubleshooting and diagnostic skills for complex issues.
    • Proven experience in supporting technical users and conducting requirements analysis.
    • Ability to work independently with minimal supervision.
    • Experience with IT Service Management and familiarity with Incident and Problem management.
    • Expertise in identifying performance bottlenecks and resolving service issues.
    • Effective cross-functional team collaboration skills, influencing design, operations, and deployment of highly available software.
    • Knowledge of best practices related to security, performance, and disaster recovery.
    Required Technical Expertise:
    • 3-5 years of experience managing and configuring Splunk Enterprise and/or Splunk Cloud.
    • Experience in developing and managing requirements and making data-driven decisions.
    • Proficiency 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 dashboards, and extracting information through Splunk and Cribl.
    • Expertise in systems development for data extraction, ingestion, and processing of large data volumes.
    • Proficiency with scripting and automation (bash, Python, or other programming languages).
    • Familiarity with Splunk REST APIs.
    • Knowledge of cloud platforms (preferably 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 and Cribl.
    • Familiarity with data streaming technologies such as Kafka, Kinesis , Spark Streaming, etc.

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