Elasticsearch Stack Developer/administrator

il y a 1 semaine

Luxembourg Skillfinder International Temps plein

**Location**
- Luxembourg**Sector**:

- Digital & Technology**Job type**:

- Contract**Salary/Rate**:

- negotiable**Contact**:

- Lorraine Bateman-
**Job ref**:

- 19188LXB**Consultant**:

- Lorraine Bateman

**Elasticsearch Stack Developer/Administrator, Luxembourg**

**Job Summary**:
**Key Responsibilities**:

- Design, implement, and manage Elasticsearch clusters and indices for high-performance search and analytics use cases.
- Develop and maintain data ingestion pipelines using Logstash, Beats, and custom integrations.
- Monitor and optimize Elasticsearch performance, including indexing, querying, and cluster health.
- Implement security best practices, including role-based access control and data encryption.
- Create and maintain dashboards and visualizations using Kibana or other tools.
- Automate deployment and configuration using Ansible, shell scripts, and CI/CD pipelines.
- Troubleshoot and resolve issues related to data ingestion, indexing, and cluster performance.
- Stay current with Elasticsearch and open-source ecosystem developments.

**Required Qualifications**:

- 3+ years of hands-on experience with Elasticsearch stack (Elasticsearch, Logstash, Kibana).
- Proficiency in Java and Python for custom development and scripting.
- Experience with DevOps tools and practices, including CI/CD pipelines and automation (e.g., Ansible, Jenkins).
- Strong understanding of distributed systems, data modeling, and performance tuning.
- Experience with cloud platforms, preferably AWS (minimum 2 years).
- Familiarity with shell scripting and Linux system administration.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work in agile environments and collaborate across cross-functional teams.

**Preferred Qualifications**:

- Elasticsearch certification(s) (e.g., Elastic Certified Engineer).
- Experience with containerization (Docker, Kubernetes).
- Exposure to other search technologies or big data platforms (e.g., Apache Kafka, Hadoop).
- Knowledge of security and compliance standards related to data handling.

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