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15932en
- Contract
- English
- Mid-Senior level
- Digital & Technology
- Zurich
- Financial Services
Skills
Data Engineer, Elastic, ELK
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This vacancy has now expired
For our client, a well-known company in financial services based in Zurich, we are looking for an experienced Data Quality Engineer with deep knowledge in Elastic Stacks. This position is an 6-months contracting position.
The team is responsible for designing, deploying and operating a large-scale log platforms on-premise and in the cloud. Their stack processes billions of events per day in a near real-time manner, protecting our infrastructure and driving our operational & security monitoring and response processes. They operate a diverse range of technologies from log collection to aggregation and analysis powered by both 3rdparty and internally developed technologies.
What you will do:
• Data Source Onboarding
• Data Parsing and Transformation
• Data Quality Assurance
• User Support
• Content support
• Create and maintain documentation, including configuration guides and standard operating procedures
Requirements:
• Proven Experience in data management with Elastic Stack
• Proficiency in Linux operating systems (e.g., CentOS, Ubuntu, Red Hat).
• Proficiency in data modeling and processing large data sets , SQL, KQL, SPL
• Relevant certifications or technology work experience (e.g., CompTIA Linux+, Red Hat, Elastic, Splunk, etc ) is a plus.
• Strong understanding of network protocols, security principles, and system administration best practices.
• Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues.
• Strong interpersonal and communication skills, with the ability to work effectively in a teamoriented environment
• Excellent verbal & writing skills with English is a must
The team is responsible for designing, deploying and operating a large-scale log platforms on-premise and in the cloud. Their stack processes billions of events per day in a near real-time manner, protecting our infrastructure and driving our operational & security monitoring and response processes. They operate a diverse range of technologies from log collection to aggregation and analysis powered by both 3rdparty and internally developed technologies.
What you will do:
• Data Source Onboarding
• Data Parsing and Transformation
• Data Quality Assurance
• User Support
• Content support
• Create and maintain documentation, including configuration guides and standard operating procedures
Requirements:
• Proven Experience in data management with Elastic Stack
• Proficiency in Linux operating systems (e.g., CentOS, Ubuntu, Red Hat).
• Proficiency in data modeling and processing large data sets , SQL, KQL, SPL
• Relevant certifications or technology work experience (e.g., CompTIA Linux+, Red Hat, Elastic, Splunk, etc ) is a plus.
• Strong understanding of network protocols, security principles, and system administration best practices.
• Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues.
• Strong interpersonal and communication skills, with the ability to work effectively in a teamoriented environment
• Excellent verbal & writing skills with English is a must
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