Design, implement, maintain, and optimize scalable Elasticsearch clusters using the ELK stack. Develop complex Query DSL searches, manage indexing, mappings, shards, aliases, documents, templates, and analyzers. Monitor cluster health, troubleshoot performance issues, implement security controls, and establish backup and disaster recovery strategies. Collaborate with development and operations teams, maintain infrastructure documentation, and recommend improvements based on Elasticsearch updates. .NET Core and WebAPI experience is an advantage.
This is a remote position.
Elastic Search Expert
Position: Elastic Search Expert
Experience: 5+ years
Location: Mumbai/Chennai
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.
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