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12600en
- Contract
- English
- Associate
- Digital & Technology
- Zurich
- Financial Services
Skills
Splunk, SIEM, Kafka, Big Data
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This vacancy has now expired
On behalf of our client, a global financial services company, Swisslinx is looking for a motivated Splunk engineer for an initial 12 month contract position (possibility of extension), in Zurich, Switzerland.
You will work with the Global Log Management and Cyber Security Analytics teams, and will be mainly responsible for solving highly technical problems, which may require assessing source code to analyze and resolve problems.
Tasks and Responsibilities:
Monitor, maintain and improve reliability and quality of service of data processing and warehousing environments
• Build and test solutions in a pre-production environment
• Document test results, designs, and operational manuals for the solutions
• Provide support of Production operations
• Occasional on-duty or after business hours work in case of incident support
• Perform code upgrades without supervision.
• Identify and document best practices within their subject matter areas of expertise
• Provide continuous process improvement suggestions.
• Maintain and document Standard Operating Procedures.
• Create, and maintain educational content as an integral part of the engineering and user experience.
Your skills:
1. Proven professional experience with big data platforms (Splunk, Cloudera, Confluent), SIEM, log management, data warehouse
2. Hands-on experience with big data messaging and streaming applications and frameworks (Kafka, Nifi, Flink, Spark)
3. Hands-on experience administrating and troubleshooting distributed environments / clusters is a must
4. Proficient in analyzing and interpreting log sources (Web proxies, Firewalls, Windows, Linux, Sysmon, EDR…)
5. Comfortable with Linux administration, Bash scripts, packaging (RPM), troubleshooting
6. Experience with at least one programming language (Python or Java preferred)
You will work with the Global Log Management and Cyber Security Analytics teams, and will be mainly responsible for solving highly technical problems, which may require assessing source code to analyze and resolve problems.
Tasks and Responsibilities:
Monitor, maintain and improve reliability and quality of service of data processing and warehousing environments
• Build and test solutions in a pre-production environment
• Document test results, designs, and operational manuals for the solutions
• Provide support of Production operations
• Occasional on-duty or after business hours work in case of incident support
• Perform code upgrades without supervision.
• Identify and document best practices within their subject matter areas of expertise
• Provide continuous process improvement suggestions.
• Maintain and document Standard Operating Procedures.
• Create, and maintain educational content as an integral part of the engineering and user experience.
Your skills:
1. Proven professional experience with big data platforms (Splunk, Cloudera, Confluent), SIEM, log management, data warehouse
2. Hands-on experience with big data messaging and streaming applications and frameworks (Kafka, Nifi, Flink, Spark)
3. Hands-on experience administrating and troubleshooting distributed environments / clusters is a must
4. Proficient in analyzing and interpreting log sources (Web proxies, Firewalls, Windows, Linux, Sysmon, EDR…)
5. Comfortable with Linux administration, Bash scripts, packaging (RPM), troubleshooting
6. Experience with at least one programming language (Python or Java preferred)