Elasticsearch Developer

Position: Elasticsearch Developer

Experience: 7+ Years

Location: Mumbai

Role Overview

We are seeking an experienced Elasticsearch Developer with 7+ years of strong hands-on expertise in designing, implementing, and optimizing Elasticsearch and ELK stack–based solutions. The ideal candidate will have a solid background in architecting search-driven applications, handling large datasets, building scalable indexing pipelines, and leveraging ElastiCache for performance optimization.

This role requires deep technical proficiency, strong analytical skills, and experience working in high-performance, data-intensive environments.

Key Responsibilities

Elasticsearch & ELK Stack Engineering

• Design, implement, and manage highly scalable and resilient Elasticsearch and ELK (Elasticsearch, Logstash, Kibana) stack solutions.
• Architect optimized data structures, indices, mappings, and pipelines to support complex search and analytics use cases.
• Develop and fine-tune bulk data ingestion and indexing processes for high-volume datasets.
• Perform cluster configuration, monitoring, performance tuning, and troubleshooting.

Elastic Cache & High-Performance Data Solutions

• Implement and optimize caching solutions using ElastiCache (Redis/Memcached).
• Build and tune high-performance application data flows integrating Elasticsearch and ElastiCache.
• Ensure low-latency processing and retrieval for large-scale applications.

Data Engineering & Query Optimization

• Write complex search queries, aggregations, and filters using Elasticsearch Query DSL.
• Develop high-performance scripts, jobs, and APIs that interact with Elasticsearch and ElastiCache.
• Work with large datasets and design efficient data models, pipelines, and search strategies.
• Optimize queries and implement best practices for speed, accuracy, and scalability.

Reporting & API Development

• Build and maintain reporting solutions using APIs that leverage Elasticsearch and ElastiCache.
• Develop dashboards, analytics visualizations, and operational insights using Kibana or custom reporting frameworks.

Required Skills & Experience

7+ years of overall experience, with strong hands-on expertise in Elasticsearch (mandatory).

• Proven experience with ELK Stack: Elasticsearch, Logstash, Kibana.
• Strong knowledge of ElastiCache (Redis or Memcached) for caching and performance optimization.
• Experience designing and tuning index mappings, analyzers, ingest pipelines, and bulk load processes.
• Proficiency with Elasticsearch Query DSL and writing optimized, complex queries.
• Solid understanding of distributed systems, search algorithms, and scalability concepts.
• Experience building data-driven applications using APIs.
• Strong background in working with large datasets, performance tuning, and data modeling.

Preferred Qualifications

• Experience with AWS services related to search and caching (e.g., Amazon Elasticsearch Service, OpenSearch, Lambda, S3).
• Familiarity with Python, Java, or Node.js for backend integration scripts.
• Experience with DevOps tools related to monitoring, logging, CI/CD, and infrastructure as code.
• Knowledge of microservices and event-driven architectures.