Elasticsearch Developer(NCS/Job/ 1115)

Key Responsibilities:

• Design, implement, and maintain Elasticsearch clusters to support large-scale search applications.
• Develop, optimize, and maintain custom search queries, aggregations, and indexing strategies.
• Work with data pipelines, including ingestion, transformation, and storage of structured and unstructured data.
• Integrate Elasticsearch with web applications, APIs, and other data storage systems.
• Implement scalability, performance tuning, and security best practices for Elasticsearch clusters.
• Troubleshoot search performance issues and enhance the relevance and efficiency of search results.
• Work with Kibana, Logstash, and Beats for visualization and data analysis.
• Collaborate with developers, data engineers, and DevOps teams to deploy and maintain search infrastructure.
• Stay updated on the latest Elasticsearch features, plugins, and best practices.

Required Skills & Qualifications:

• Strong experience with Elasticsearch (versions 7.x/8.x) and related tools (Kibana, Logstash, Beats).
• Proficiency in writing complex Elasticsearch queries, aggregations, and analyzers.
• Experience with full-text search, relevance tuning, and ranking algorithms.
• Knowledge of indexing, mapping, and schema design for optimal search performance.
• Proficiency in Python, Java, or Node.js for developing search applications.
• Experience with RESTful APIs and integrating Elasticsearch with various platforms.
• Familiarity with distributed systems, clustering, and high-availability configurations.
• Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP) is a plus.

• Strong problem-solving skills and ability to troubleshoot performance bottlenecks.