We are looking for an experienced Elasticsearch Developer to design, develop, optimize, and maintain enterprise-scale search solutions. The ideal candidate should have hands-on experience with Elasticsearch architecture, indexing strategies, custom mappings, query optimization, aggregations, and REST API integration. The candidate will work closely with application development teams to build high-performance, scalable search platforms capable of handling large volumes of indexed data.

Key Responsibilities

Design, implement, and maintain Elasticsearch clusters for production environments.

Create and manage indices, mappings, analyzers, and document schemas based on business requirements.

Develop and optimize search queries for high performance and low latency.

Implement custom mappings and indexing strategies to improve search accuracy and efficiency.

Design and implement aggregations for analytics, reporting, and search insights.

Monitor cluster health, troubleshoot indexing/search issues, and optimize resource utilization.

Integrate Elasticsearch with enterprise applications using Java, Python, .NET, or similar technologies.

Develop and consume RESTful APIs for search services.

Perform data ingestion, indexing, and synchronization from multiple data sources.





Handle large-scale datasets while ensuring high availability and scalability.

Collaborate with development, DevOps, and data engineering teams to deliver robust search solutions.

Participate in code reviews, performance tuning, and production support activities.

Required

Skills

3–6 years of software development experience with at least 2+ years of hands-on Elasticsearch experience.

Solid understanding of Elasticsearch concepts including:

Indices

Documents

Fields

Shards & Replicas

Mappings

Analyzers

Experience creating custom mappings and optimizing index structures.

Strong experience with Elasticsearch Query DSL.

Hands-on experience with Aggregations (Metrics, Bucket, Pipeline).

Experience in query optimization and search performance tuning.

Experience integrating Elasticsearch with applications using Java, Python, .NET, Node.js, or similar technologies.

Hands-on experience with Elasticsearch client libraries.

Experience developing and consuming REST APIs.

Experience indexing and managing millions of documents or large-scale datasets.

Familiarity with Elasticsearch cluster administration, monitoring, backup, and recovery. You can also share your profile at [email protected]

📌 ElasticSearch Developer (Mumbai)
🏢 Mindtel
📍 Mumbai