Elastic Search Data Engineer
Summary
Design, build, and maintain Elasticsearch/Kibana (ELK Stack) cloud solutions, configure Linux systems, and troubleshoot clusters to meet performance and compliance needs.
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Responsibilities:
- Work with the team to design, document, build, secure, and maintain Elasticsearch, Kibana (ELK Stack) enterprise solutions deployed in the cloud for both non-production and production environments.
- Collaborate with architects, engineers, and integrators to assess customer requirements and design ELK Stack solutions that meet dashboard data compliance needs.
- Follow lifecycle processes to transition solutions from Development to Testing, Pre-Staging, and Production.
- Configure and maintain Linux-based operating system files supporting Elasticsearch products.
- Install and configure Elastic Cloud Enterprise (ECE) solutions in non-production and production environments, ensuring communication and integration among Elasticsearch products and data sources.
Secondary Skills:
- Excellent written and verbal communication skills, detail-oriented, effective interpersonal skills, strong organizational skills, problem-solving abilities, technical documentation skills, and a proactive, self-motivated work ethic.
- Consistently seek to improve quality and efficiency.
- Adaptability and ability to thrive in an evolving environment.
Key Responsibilities:
- Design and implement Elasticsearch clusters to meet performance and availability requirements.
- Monitor cluster health using monitoring tools.
- Troubleshoot cluster issues.
Additional Information:
- Seniority level: Not Applicable
- Employment type: Full-time
- Job function: Information Technology
- Industries: IT Services and IT Consulting
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