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TechBlocks
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Search Engineer

Search Engineer

TechBlocks

4 - 8 years

5 - 9 Lacs

hyderabad

Posted:4 days ago| Platform:

Apply

Skills Required

indexing lucene elastic search spark solr query tuning web application data processing enterprise applications triggers t-sql sql server sql stored procedures plsql apache query optimization production processes xml ssrs json troubleshooting ssis

Work Mode

Work from Office

Job Type

Full Time

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:
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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