Neo 4j+Graph DB

Cognizant; Chennai; Remote; INR 1,500,000 - 2,300,000; Full time

Job summary

Cognizant is seeking a seasoned Neo4j Graph Database Developer to design and implement graph-based solutions for complex business use cases.

The role focuses on graph data modeling, Cypher queries, ETL pipelines, and integration with enterprise applications across PAN India. Collaboration with data engineering and analytics teams is essential to ensure scalable, high‑quality graph platforms.

Qualifications

• Hands-on experience with Neo4j Graph Database and graph data modeling.
• Proficient in Cypher query language and graph algorithms.
• Experience with Python, Java, or Scala and REST APIs.
• Experience with data migration, ETL, and data integration tools.

Responsibilities

• Design, develop, and maintain Neo4j Graph Database solutions.
• Create and optimize graph data models, nodes, relationships, and schemas.
• Develop complex queries using Cypher Query Language.
• Build and maintain ETL pipelines for loading and transforming data into Neo4j.
• Optimize graph database performance, scalability, and data integrity.

Skills

Neo4j Graph Database

Cypher Query Language

Graph Data Modeling

Python/Java/Scala

REST APIs & Microservices

ETL & Data Integration

Cloud Platforms AWS/Azure/GCP

Tools

Apache Spark

Kafka

ETL Tools

Job description

Job Title: Neo4j / Graph Database Developer

Experience: 6 to 12 Years

Location: PAN India

Job Description

We are seeking an experienced Neo4j Graph Database Developer with strong expertise in graph data modeling, query optimization, and data integration. The ideal candidate should have hands‑on experience designing and implementing graph‑based solutions using Neo4j for complex relationship‑driven business use cases.

Key Responsibilities

• Design, develop, and maintain Neo4j Graph Database solutions.
• Create and optimize graph data models, nodes, relationships, and schemas.
• Develop complex queries using Cypher Query Language.
• Build and maintain ETL pipelines for loading and transforming data into Neo4j.
• Optimize graph database performance, scalability, and data integrity.
• Integrate Neo4j with enterprise applications, APIs, and data platforms.
• Collaborate with Data Engineering, Analytics, and Application Development teams.
• Troubleshoot graph database issues and implement best practices.

Required Skills

• Strong hands‑on experience with Neo4j Graph Database.
• Expertise in Cypher Query Language.
• Good understanding of Graph Data Modeling and graph algorithms.
• Experience with Python, Java, or Scala.
• Knowledge of REST APIs and microservices architecture.
• Experience with data migration, ETL, and data integration tools.
• Understanding of database concepts, indexing, and query optimization.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Preferred Skills

• Experience with Apache Spark, Kafka, or Data Engineering ecosystems.
• Knowledge of Graph Data Science (GDS) library.
• Understanding of knowledge graphs, recommendation engines, fraud detection, or network analytics.
• Neo4j certification is a plus.