Elastic Search Expert

This is a remote position.

Elastic Search Expert

Primary Responsibilities:

• Utilize expertise in ELK stack (Elasticsearch, Kibana, Logstash) to design, implement, and maintain efficient and scalable Elasticsearch clusters.
  
• Develop complex queries using Query DSL for optimal data retrieval and analysis.
  
• Manage various aspects of Elasticsearch including indexing, mapping, aliases, shards, and re-indexing.
  
• Create and optimize search templates and filters to enhance search capabilities.
  
• Apply knowledge of text search queries, tokenizers, and analyzers to build effective search functionalities.
  
• Perform tasks related to document management, such as creation, update, and deletion of documents.
  
• Collaborate closely with development and operations teams to ensure the Elasticsearch clusters' optimal performance.
  
• Monitor Elasticsearch clusters' performance and health, taking proactive measures to identify and resolve issues.
  
• Establish disaster recovery and backup strategies for Elasticsearch clusters.
  
• Configure and maintain Elasticsearch security features, including authentication, authorization, and SSL/TLS.
  
• Develop and maintain comprehensive documentation for Elasticsearch infrastructure, including operating procedures, architecture diagrams, and troubleshooting guides.
  
• Stay informed about the latest Elasticsearch changes and updates, providing recommendations for infrastructure improvements.
  
• Experience in .Net Core with WebAPI is an added advantage.
  

Required Skills and Qualifications:

• Minimum of 5 years of experience working with the ELK stack (Elasticsearch, Kibana, Logstash).
  
• Strong proficiency in Elasticsearch, Query DSL, and related technologies.
  
• Expertise in managing Elasticsearch clusters, including performance optimization, indexing strategies, and query optimization.
  
• Familiarity with search-related concepts such as tokenizers, analyzers, and filters.
  
• Proven experience in designing and implementing complex search queries.
  
• Hands-on experience with document management, including creation, update, and deletion.
  
• Ability to collaborate effectively with development and operations teams.
  
• Proactive approach to monitoring and troubleshooting Elasticsearch clusters.
  
• Solid understanding of Elasticsearch security features and best practices.
  
• Experience with disaster recovery planning and execution.
  
• Excellent documentation skills, including the ability to create architecture diagrams and operating procedures.
  
• Strong problem-solving skills and a keen attention to detail.
  
• Stay updated with the latest trends and changes in Elasticsearch technology.
  
• Additional experience in .Net Core with WebAPI is a plus.