Senior Neo4j Graph Data Science (GDS) Developer

Synechron — Pune - Hinjewadi (Ascendas)

Software Requirements: Graph Databases: 4+ years of dedicated hands-on experience with Neo4j (Enterprise Edition, AuraDB, or Aura Analytics) and deep mastery of the Cypher query language. Graph Analytics: Extensive experience utilizing the Neo4j Graph Data Science (GDS) library to implement graph-native unsupervised/supervised ML, link prediction, and node classification. Core Languages: Strong proficiency in Python (PyData stack, graph-data-science client) and/or Java (for custom stored procedures and extension development). AI & NLP: Experience with Knowledge Graph generation, Vector Search, and orchestration tools for GraphRAG or agentic AI patterns. Cloud & Data Ecosystem: Proven experience with cloud data architectures (AWS, Azure, or GCP) and integrations with modern data lakes/warehouses (Snowflake, Databricks, BigQuery, or Spark). DevOps & Infrastructure: Solid understanding of Docker, Kubernetes, and deployment configurations for distributed graph systems. Overall Responsibilities: Graph Architecture & Modeling: Lead the design and implementation of highly scalable, enterprise-grade Labeled Property Graph (LPG) data models optimized for both transactional querying and global graph analytics. Graph Data Science & ML: Apply the Neo4j GDS library to execute advanced graph algorithms (e.g., PageRank, Louvain, Weakly Connected Components, Node Embeddings like FastRP) to uncover hidden patterns, fraud rings, or network clusters. Query Optimization: Write, test, and tune complex multi-hop Cypher queries, stored procedures, and User Defined Functions (UDFs) to ensure sub-second response times across billions of nodes and edges. AI & GraphRAG Integration: Architect and integrate knowledge graphs with vector databases, large language models (LLMs), and framework agents using Model Context Protocol (MCP) or LangChain to support accurate, contextual reasoning workflows. Data Ingestion & Pipelines: Design, build, and optimize scalable ETL/ELT pipelines using Apache

View on HireSetu