Search Engineer, Guntur

Position: Search Engineer

Location: Remote

Experience: 6+ years

Job Description:

Highly skilled Search Engineer with deep expertise in designing, implementing, and optimizing search solutions using Apache Solr, Elasticsearch, and Apache Spark. Need substantial experience handling big data search and document-based retrieval, with a strong focus on writing complex queries and indexing strategies for large-scale systems.

Key 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.

Required Skills and Qualifications:

· 4 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:

o Full-text search with analyzers

o Faceted and filtered search

o Boolean and range queries

o Aggregations and suggesters

o 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.