Log Data Engineer for High-Performance Systems
1 day ago
We are seeking a skilled Log Data Engineer to join our team at Capgemini. The ideal candidate will have hands-on experience with Elasticsearch, Logstash, and Kibana.
Key Responsibilities:- Design and Implement ELK Solutions: Architect and deploy solutions using Elasticsearch, Logstash, and Kibana for log management, real-time data analysis, and visualization.
- Maintain ELK Stack: Monitor, configure, and troubleshoot the ELK stack to ensure optimal performance and reliability in production environments.
- Log Management: Configure and manage log ingestion pipelines using Logstash or Beats agents to efficiently collect and process logs and metrics.
- Data Analysis and Visualization: Create and maintain dashboards and visualizations in Kibana for different teams to track system performance, errors, and other metrics.
- Search Engine Optimization: Optimize Elasticsearch queries, mappings, and indexing to ensure efficient data storage and fast search performance.
- Automation: Automate the setup, configuration, and scaling of the ELK stack using tools such as Ansible, Terraform, or Kubernetes.
- Security and Access Control: Implement and manage security configurations in Elasticsearch, including access control, user roles, and encryption.
The salary for this position is estimated to be around $110,000 per year, based on industry standards and location.
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