Graph Engineer

Company Description Giggso, founded in 2017 in Michigan, helps enterprises navigate complex digital transformation initiatives with a strong focus on applied AI. As a certified Minority Business Enterprise (MBE), Giggso brings diverse perspectives to solving challenging governance and engineering problems for Fortune 500 clients worldwide. The firm operates at the intersection of Governance, Risk, Compliance (GRC) and engineering, enabling organizations to move from limited AI pilots to scalable AI profit centers. Its mission is to transform AI governance from a bottleneck into a strategic advantage for clients. More information about the company is available at www.giggso.com.

Role Description This is a full-time, on-site Graph Engineer role based in Chennai. The Graph Engineer will design, implement, and optimize graph data models and pipelines to support AI governance, risk, and compliance solutions. Daily responsibilities include building and maintaining graph databases, developing algorithms for knowledge graphs, and integrating graph-based systems with existing data platforms and applications. The role involves collaborating with data scientists, software engineers, and GRC experts to deliver scalable, secure, and high-performance graph solutions that address enterprise use cases. The Graph Engineer will also monitor system performance, troubleshoot issues, and contribute to best practices and documentation for graph engineering across the organization.

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.