Careers

Experience: 6+ Years

Location: Ahmedabad / Pune

Role Overview

We are looking for a Senior Graph Database Developer / Knowledge Graph Engineer to design, build, and operate a scalable Knowledge Graph platform serving as the semantic foundation for enterprise-grade digital twin and AI-driven use cases.

This role is focused on graph database engineering, data modeling, and production operations, with additional responsibility for supporting data ingestion and ETL pipelines in a cloud-native environment.

Key Responsibilities

• Design and evolve graph data models using Property Graph and/or RDF approaches
• Implement and optimize graph queries using Gremlin and/or SPARQL
• Build and manage Knowledge Graphs connecting complex enterprise data domains
• Perform bulk data loading and migration into graph databases
• Optimize graph workloads for performance, scalability, and traversal efficiency
• Support graph-based use cases such as impact analysis, dependency tracing, and intelligent navigation
• Deploy, configure, and operate graph databases in AWS (e.g., AWS Neptune or equivalent)
• Ensure production readiness including high availability, backup, recovery, and scaling
• Monitor database health, query performance, and system metrics
• Apply cloud security best practices (IAM, network isolation, encryption)
• Experience with working in Agile Framework

Required Skills & Experience

Must Have

• Strong hands-on experience with graph databases (AWS Neptune, Neo4j, etc.)
• Solid experience in graph data modeling (Property Graph and/or RDF)
• Proficiency with Gremlin and/or SPARQL
• Experience with bulk loading and migrating large datasets into graph databases
• Experience operating databases in production environments
• Strong AWS fundamentals, including:
  • VPC, IAM, networking
  • Security and monitoring
• Proven experience with performance tuning and query optimization for graph workloads

Nice to Have

• Exposure to Knowledge Graphs for AI / ML or Digital Twin use cases
• Understanding of semantic technologies and ontologies
• Experience designing or supporting ETL / data ingestion pipelines
• Familiarity with monitoring and observability tools
• Experience working in product-oriented teams