Senior Elasticsearch Developer

Senior Elasticsearch Developer

Chennai

About the Role

We're seeking an experienced Elasticsearch consultant to architect and implement a high-performance analytics dashboard solution that will transform how our organization delivers self-service BI capabilities. This is a critical infrastructure initiative that will sit alongside our existing Oracle data warehouse, enabling sub-second query performance for interactive dashboards and ad-hoc analytics.

What You'll Do

Architecture & Design

• Design a scalable Elasticsearch cluster architecture optimized for analytical workloads and dashboard queries
• Define data modeling strategies that balance query performance, storage efficiency, and update patterns
• Architect the integration layer between our Oracle data warehouse and Elasticsearch, including CDC/ETL pipelines
• Establish index design patterns, sharding strategies, and data lifecycle management policies

Implementation & Integration

• Build robust data ingestion pipelines from Oracle to Elasticsearch with appropriate transformation logic
• Implement search and aggregation queries optimized for dashboard performance
• Develop monitoring and observability solutions for cluster health and query performance
• Create comprehensive documentation covering architecture decisions, operational procedures, and best practices

Performance & Optimization

• Tune cluster configurations, index settings, and query patterns for ultra-fast response times
• Implement caching strategies and query optimization techniques
• Conduct load testing and capacity planning to ensure production readiness
• Establish performance benchmarks and SLAs for dashboard response times

What You Bring

Required Experience

• 8+ years of hands-on experience with Elasticsearch in production environments, particularly for analytics use cases
• Proven track record designing and implementing Elasticsearch solutions that support interactive dashboards and BI tools
• Deep understanding of Elasticsearch internals: inverted indices, segment merging, scoring algorithms, and aggregation frameworks
• Strong experience with data pipeline design, including ETL/ELT patterns and change data capture
• Expertise in performance tuning, capacity planning, and troubleshooting production Elasticsearch clusters
• Experience integrating Elasticsearch with traditional data warehouses (Oracle)

Technical Skills

• Expert-level knowledge of Elasticsearch Query DSL, aggregations, and search APIs
• Strong understanding of distributed systems concepts: sharding, replication, consistency models
• Experience with infrastructure as code (Terraform preferred) and cloud platforms (AWS, Azure, or GCP)
• Solid SQL skills and understanding of relational data modeling concepts
• Familiarity with BI/visualization tools (Tableau, React UI Dashboards or similar)

Highly Valued

• Experience with financial services or regulated industry data
• Background working with Oracle databases and understanding of Oracle-specific features
• Knowledge of real-time analytics architectures and streaming data patterns
• Experience with Elasticsearch security features, including RBAC and field-level security
• Familiarity with machine learning capabilities in Elasticsearch