Search Engineer

3 weeks ago

Hyderabad, India Techblocks Full time

Job Description Role & responsibilities - Design and implement robust, scalable search architectures using Solr and Elasticsearch. - Write, optimize, and maintain complex search queries (including full-text, faceted, fuzzy, geospatial, and nested queries) using Solr Query Parser and Elasticsearch DSL. - Work with business stakeholders to understand search requirements and translate them into performant and accurate queries. - Build and manage custom analyzers, tokenizers, filters, and index mappings/schemas tailored to domain-specific search needs. - Develop and optimize indexing pipelines using Apache Spark for processing large-scale structured and unstructured datasets. - Perform query tuning and search relevance optimization based on precision, recall, and user engagement metrics. - Create and maintain query templates and search APIs for integration with enterprise applications. - Monitor, troubleshoot, and improve search performance and infrastructure reliability. - Conduct evaluations and benchmarking of search quality, query latency, and index refresh times. Preferred candidate profile - 3 to 5 years of hands-on experience with Apache Solr and/or Elasticsearch in production environments. - Proven ability to write and optimize complex Solr queries (standard, dismax, edismax parsers) and Elasticsearch Query DSL, including: - Full-text search with analyzers - Faceted and filtered search - Boolean and range queries - Aggregations and suggesters - Nested and parent/ child queries - Strong understanding of indexing principles, Lucene internals, and relevance scoring mechanisms (BM25, TF-IDF). - Proficiency with Apache Spark for custom indexing workflows and large-scale data processing. - Experience with document parsing and extraction (JSON, XML, PDFs, etc.) for search indexing. - Experience integrating search into web applications or enterprise software platforms.

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