Splunk Data Engineering Expert
Initial contract till end of the year + extensions
Eindhoven, Netherlands / Remote Working (2 days onsite per week, 3 days remote)
Our client:
Our client provides High Performance Mixed Signal and Standard Product solutions that leverage its leading RF, Analog, Power Management, Interface, Security and Digital Processing expertise. These innovations are used in a wide range of automotive, identification, wireless infrastructure, lighting, industrial, mobile, consumer and computing applications. A global semiconductor company with operations in more than 35 countries, over 45.000 employees and a revenue of over $10 billion.
Department / Project:
Your Team
The R&D IT design infrastructure team supports the hardware designers with a HW design environment (HW design tools, compute, storage, network, and licenses). The aim is to reduce the lead times of IC design projects and to improve their product quality (Total Quality). The R&D IT Data Analytics team enables team creating dashboards to present real-time status information (with Splunk) about the IT infrastructure, to optimize the utilization of IT resources and to respond quickly to any issue.
Job Summary:
Your Role
The supporting teams and the businesses are in-need of more (real-time) insights in the R&D IT design infrastructure. That's why we're looking for a Splunk DevOps engineer / data engineer who will develop reports, dashboards, and applications. As a front-end Splunk developer it will be your role to talk with the business and supporting teams (often IT), to understand their needs and you need to translate those into practical and reliable solutions. Data quality is key. Keeping dashboards, reports, and applications healthy will be a key responsibility.
Job Qualifications:
What we expect from you?
- Master's or bachelor's degree in computer science (or related field)
-7 years Splunk experience
- Splunk certifications
- Proven experience in building Big Data platforms and pipelines
- Hands-on experience managing and using Big Data processing frameworks
- Experience with agile methodologies like SCRUM; DevOps; SAFe
