Location: Pan India / Hybrid / Remote (As per Business Requirement)
Employment Type: Full-Time
Job Summary
We are looking for a skilled Neo4j Developer with solid 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 Cyph
📌 Neo4j Developer (Bengaluru)
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