SRQ128030- Splunk data Engineer

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Starting date:
Ending date:
Hours per week:

Splunk data Engineer

Job description:
1.         Setup and optimize configuration of Splunk enterprise and enterprise security , authorization, tuning of limits and specific application configurations
2.         Configuration of a Splunk HEC cluster combined with AWS ELB
3.         Setup of proper field extraction and CIM compliance of incoming data sources
4.         Onboarding of data sources via Syslog, Kinesis and API calls
Must have:
•           Splunk Enterprise Security Admin level application knowledge
•           Understanding of best practices on Splunk data onboarding and configuration
•           AWS and AWS services like SSM, Kinesis and S3
(Kinesis: Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information)
(S3: Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance)
•           Solid understanding of securing data in transit (HTTPS/Certificates)
•           Understanding of SW version control and GitLab
Nice to have:
•           Affinity with Security

Rate indication: €85 (this is an indication and depends on level of seniority)

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