ELK Engineer

Role: - ELK Engineer

ELK Developer experience: ELK Developer designs, implements, and manages the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards. Key responsibilities include configuring Logstash for data processing, optimizing Elasticsearch for data storage and retrieval, developing Kibana dashboards for insights, and ensuring the system's performance, security, and high availability.

• Design and Development - Create and maintain scalable ELK stack solutions for log ingestion, processing, and analysis.
• Log Management - Configure and manage Logstash to parse and enrich log data from various sources.
• Data Ingestion - Work with components like Filebeat, Metricbeat, and Winlogbeat for data collection.
• Kibana Dashboards - Build and manage interactive Kibana dashboards for real-time monitoring and analytics.
• Performance Tuning - Monitor and optimize the performance, scalability, and resilience of the ELK stack.
• Troubleshooting - Resolve complex issues related to data indexing, querying, and visualization within the ELK environment.
• Data Integrity & Security - Ensure data integrity and implement security measures for the ELK infrastructure.
• Infrastructure as Code - Deploy and manage Elastic clusters using tools like Ansible.
• Integration - Integrate the ELK stack with other systems and data sources through APIs and web services.
• Documentation - Maintain detailed documentation for configurations, deployments, and operations.

• Bachelor’s degree in technology, engineering, or related field.
• 6-8 years of ELK Developer experience: designing, implementing, and managing the Elasticsearch, Logstash, and Kibana (ELK) stack to build data pipelines for log analysis, data ingestion, and real-time visualization dashboards
• ELK Stack Proficiency: Strong understanding of Elasticsearch, Logstash, and Kibana.
• Programming Languages: Experience with languages like Go or Java for developing custom plugins or integrations.
• Data Management: Experience with data pipelines, data ingestion, and index lifecycle management.
• Monitoring & Visualization: Knowledge of monitoring tools and techniques, including developing advanced Kibana dashboards.
• Scripting: Proficiency in shell scripting and Unix/Linux administration.
• Good understanding of DevOps processes and CI/CD tools.
• Ability to work through ambiguous and open-ended business requirements and priorities and translate the same into a clear roadmap and definition of success.
• Excellent communication, problem-solving, and project management skills
• Ability to collaborate effectively and follow up to ensure achievement of deadlines, outcomes, and results.
• Demonstrate company core values of excellence, ownership, collaboration, and integrity.
• Strong communication and interpersonal skills in a global organization
• Strong collaborative approach to problem solving.