Elesticsearch Developer

Role : Elasticsearch Developer

Experience : 4+ Years

Education : B.E/ B.Tech

Salary : As Per Industry Standard

Job Location : Tirunelveli - Work from Office

Skills : Elasticsearch , Kibana, Logstash, Filebeat

Job Description:

• We are seeking a skilled Elasticsearch Developer to join our team. As an Elasticsearch expert, you will be responsible for the design, implementation, administration, and maintenance of our Elasticsearch infrastructure. Your role will involve optimizing search functionality, ensuring data availability and reliability, and supporting data-driven decision-making across the organization.

Responsibilities:

• Design, implement, and manage Elasticsearch clusters to support search and analytics capabilities.
• Develop and optimize Elasticsearch queries and aggregations to provide efficient and accurate search results.
• Monitor Elasticsearch performance, troubleshoot issues, and implement performance tuning techniques to ensure optimal system response times and scalability.
• Collaborate with cross-functional teams to define and understand search requirements and translate them into Elasticsearch configurations and mappings.
• Ensure data availability, integrity, and security by implementing appropriate backup and disaster recovery strategies.
• Conduct data modeling and mapping to ensure efficient and effective indexing and search capabilities.
• Collaborate with software development teams to integrate Elasticsearch functionality into applications and systems.
• Stay up-to-date with Elasticsearch and related technologies, trends, and best practices to propose and implement new features and enhancements.
• Provide guidance and support to other team members and stakeholders regarding Elasticsearch usage, best practices, and troubleshooting.
• Document Elasticsearch configurations, processes, and procedures to facilitate knowledge sharing and maintain system documentation.

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience in designing, implementing, and administering Elasticsearch clusters and indices.
• Strong proficiency in Elasticsearch query DSL and aggregations.
• Solid understanding of search relevance and relevance tuning techniques.
• Experience with Elasticsearch monitoring, performance tuning, and capacity planning.
• Familiarity with search and indexing concepts, such as tokenization, stemming, and relevance scoring.
• Knowledge of data modeling and mapping techniques for efficient indexing and search.
• Familiarity with Elasticsearch ecosystem tools, such as Kibana, Logstash, Beats, and Elasticsearch Machine Learning.
• Strong problem-solving and troubleshooting skills to address performance, scalability, and data-related issues.
• Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders