– Neo4j Developer Job Title: Neo4j Developer Experience: 3–7+ Years Location: Pan India / Hybrid / Remote (As per Business Requirement) Employment Type: Full time Job Summary We are looking for a skilled Neo4j Developer with strong expertise in Graph Data Modeling, Cypher Query Language, and Neo4j Graph Data Science (GDS). The ideal candidate will design, develop, and operationalize enterprise graph database solutions, build scalable data ingestion pipelines, and implement advanced graph analytics using the Neo4j GDS library. You will collaborate with cross-functional teams to deliver high-performance, secure, and scalable graph-based applications.

Key Responsibilities Graph Modeling & Development Design and implement scalable property graph models for business use cases such as Customer 360, fraud detection, supply chain networks, recommendation engines, and journey analytics.

Develop efficient Cypher queries, stored procedures, and APOC-based utilities.

Design graph schemas that support scalability, performance, and maintainability.

Implement graph data quality, deduplication, and entity resolution strategies. Data Ingestion & Integration Build batch and real-time data ingestion pipelines using Neo4j connectors, Kafka, Spark, REST APIs, and Neo4j drivers.

Develop ETL/ELT workflows for loading and transforming graph data.

Optimize data loading strategies using indexes and constraints.

Ensure data consistency and integrity across graph databases.

Graph Data

Science (GDS) Develop graph analytics solutions using the Neo4j Graph Data Science library.

Implement algorithms including

PageRank

Louvain Community Detection

Label Propagation

Weakly Connected Components

Shortest Path

Node Embeddings

Build feature engineering workflows using GDS pipelines.





Integrate graph analytics with machine learning frameworks such as Scikit-Learn.

Evaluate algorithm performance and operationalize repeatable GDS workflows.

Performance Optimization Optimize Cypher queries for high-performance graph traversals.

Design efficient indexing and constraint strategies.

Monitor query performance and resolve bottlenecks.

Improve graph storage and retrieval efficiency. Deployment & Operations Deploy and manage Neo4j databases in Linux environments.

Configure Neo4j clusters, backups, recovery, and monitoring.

Containerize Neo4j deployments using Docker and Kubernetes.

Support production environments with high availability and scalability.

Software Engineering

Develop clean, maintainable, and reusable code.

Follow Git-based version control and CI/CD best practices.

Write unit and integration tests.

Participate in code reviews and technical design discussions.

Required Technical

Skills 3–7+ years of Software Engineering or Data Engineering experience.

Minimum 2+ years of hands-on experience with Neo4j (Core/Enterprise).

Strong expertise in Cypher Query Language.

Hands-on experience with Neo4j Graph Data Science (GDS) library.

Strong programming skills in Python (Preferred) or Java.

Experience with

Neo4j Drivers

REST APIs

APOC Procedures

Strong understanding of

Graph Data Modeling

Property Graphs

Graph Schema Design

Entity Resolution

Experience with

Kafka

Apache Spark

Airflow dbt or similar ETL tools

Strong knowledge of

Query Optimization

Indexes

Constraints

Performance Tuning

Experience with

Docker

Kubernetes

Linux Administration

Neo4j Clustering & Backup

Knowledge of Git, CI/CD pipelines, and software engineering best practices.

Skills: neo4j,python,gds

📌 Neo4j Developer (Chennai)
🏢 Zorba AI
📍 Chennai