Log Data Engineering consultant

1 week ago


Owings Mills, Maryland, United States V-Soft Consulting Group, Inc. Full time

Must have in recent projects - Log Data , Ansible automation (or Terraform) & AWS skills , IaC , Splunk, Splunk Enterprise or Splunk Cloud

10+ years of exp required

Log Data Engineering – key skills:

Process raw data, write scripts, call API's

Log data pipelines in Python

Ansible automation (or Terraform) & AWS skills are MUST

IaC skills

Manage Splunk cloud environment.

Linux/ Windows - agents (Splunk, Fluentbit/Fluentd)

Troubleshooting incidents Splunk

Responsibilities


• 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

Experience


• Ability to troubleshoot and diagnose complex issues


• Able to demonstrate experience supporting technical users and conduct requirements analysis


• Can work independently with minimal guidance & oversight


• Experience with IT Service Management and familiarity with Incident & Problem management


• Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root cause of service issues.


• Demonstrated ability to effectively work across teams and functions to influence design, operations, and deployment of highly available software


• Knowledge of standard methodologies related to security, performance, and disaster recovery

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, etc


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