Graph Developer

Shrewd Techlink Services; Chennai District, Hyderabad; On-site; INR 2,800,000 - 4,200,000; Full time

Job summary

Shrewd Techlink Services in Chennai (Remote) is seeking a Graph Developer/Engineer to design, develop, and manage enterprise-scale graph solutions built on Neo4j. The role focuses on graph data modeling, analytics, data integration, API development, and production support.

The candidate will work with Python, Java, and JavaScript drivers, expose services via GraphQL and REST, and help govern graph schemas with indexing, tuning, and monitoring. 5+ years experience required.

Qualifications

• 5+ years in graph DB development or related backend roles.
• Hands-on experience with Neo4j, Cypher, and graph data modeling.
• Experience with Neo4j Graph Data Science (GDS) library and graph analytics.

Responsibilities

• Design and develop graph data models in Neo4j to support complex business relationships and analytics use cases.
• Write, optimize, and maintain Cypher queries, stored procedures, and graph algorithms for efficient graph traversal and pattern matching.
• Implement and leverage Neo4j Graph Data Science (GDS) algorithms such as PageRank, Community Detection, Similarity, and Pathfinding.
• Build and maintain graph data pipelines to ingest data from relational databases, APIs, files, and event streams into Neo4j.
• Develop integrations with enterprise applications using Python, Java, and JavaScript Neo4j drivers.
• Expose graph services through GraphQL and REST APIs for downstream applications and AI/analytics platforms.
• Manage Neo4j environments, including indexing, query tuning, performance optimization, monitoring, and troubleshooting.
• Establish graph governance standards covering schema management, data quality, security, access controls, and operational best practices.
• Collaborate with architects, data engineers, AI/ML teams, and business stakeholders to deliver scalable graph solutions.

Skills

Graph data modeling

Graph analytics

API development

Data integration

Cypher queries

Python/Java/JavaScript programming

REST & GraphQL APIs

Cloud platforms (Azure)

Docker & CI/CD

Communication & teamwork

Tools

Neo4j

Cypher

Neo4j Graph Data Science (GDS)

REST APIs

GraphQL

Docker

CI/CD

Azure

Job description

We are looking for experienced Graph Developers/Engineers to design, develop, and manage enterprise-scale graph solutions built on Neo4j. The role will focus on graph data modeling, graph analytics, data integration, API development, and production support to enable knowledge graphs, relationship analytics, and connected-data applications.

Graph Developer / Graph Engineer (Neo4j)

Experience: 5+ Years

Shift timings: PST hours

Chennai/Hyderabad (Remote)

Role Summary

Key Responsibilities

• Design and develop graph data models in Neo4j to support complex business relationships and analytics use cases.
• Write, optimize, and maintain Cypher queries, stored procedures, and graph algorithms for efficient graph traversal and pattern matching.
• Implement and leverage Neo4j Graph Data Science (GDS) algorithms such as PageRank, Community Detection, Similarity, and Pathfinding.
• Build and maintain graph data pipelines to ingest data from relational databases, APIs, files, and event streams into Neo4j.
• Develop integrations with enterprise applications using Python, Java, and JavaScript Neo4j drivers.
• Expose graph services through GraphQL and REST APIs for downstream applications and AI/analytics platforms.
• Manage Neo4j environments, including indexing, query tuning, performance optimization, monitoring, and troubleshooting.
• Establish graph governance standards covering schema management, data quality, security, access controls, and operational best practices.
• Collaborate with architects, data engineers, AI/ML teams, and business stakeholders to deliver scalable graph solutions.

Required Skills

• 5+ years of experience in graph database development, data engineering, or backend development.
• Hands-on experience with Neo4j, Cypher Query Language, and graph data modeling.
• Experience with Neo4j Graph Data Science (GDS) library and graph analytics.
• Strong programming skills in Python, Java, or JavaScript.
• Experience developing and consuming REST APIs and GraphQL services.
• Knowledge of data integration, ETL pipelines, and working with relational and NoSQL data sources.
• Familiarity with cloud platforms (Azure preferred), Docker, and CI/CD practices.
• Strong analytical, troubleshooting, and communication skills.