Elasticsearch Developer

Job Description

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.