Neo4j Engineer

Role: Neo4j Engineer

Overall IT Experience: 7+ years

Relevant experience: (Graph Databases: 4+ years, Neo4j: 2+ years)

Location: Remote

Company Description

Bluetick Consultants is a technology-driven firm that supports hiring remote developers, building technology products, and enabling end-to-end digital transformation. With previous experience in top technology companies such as Amazon, Microsoft, and Craftsvilla, we understand the needs of our clients and provide customized solutions. Our team has expertise in emerging technologies, backend and frontend development, cloud development, and mobile technologies. We prioritize staying up-to-date with the latest technological advances to create a long-term impact and grow together with our clients.

Key Responsibilities

• Graph Database Architecture: Design and implement Neo4j graph database schemas optimized for fund administration data relationships and AI-powered queries 

• Knowledge Graph Development: Build comprehensive knowledge graphs connecting entities like funds, investors, companies, transactions, legal documents, and market data 

• Graph-AI Integration: Integrate Neo4j with AI/ML pipelines, particularly for enhanced RAG (Retrieval-Augmented Generation) systems and semantic search capabilities 

• Complex Relationship Modeling: Model intricate relationships between Limited Partners, General Partners, fund structures, investment flows, and regulatory requirements 

• Query Optimization: Develop high-performance Cypher queries for real-time analytics, relationship discovery, and pattern recognition 

• Data Pipeline Integration: Build ETL processes to populate and maintain graph databases from various data sources including FundPanel.io, legal documents, and external market data using domain specific ontologies  

• Graph Analytics: Implement graph algorithms for fraud detection, risk assessment, relationship scoring, and investment opportunity identification 

• Performance Tuning: Optimize graph database performance for concurrent users and complex analytical queries 

• Documentation & Standards: Establish graph modelling standards, query optimization guidelines, and comprehensive technical documentation 

Key Use Cases You'll Enable

• Semantic Search Enhancement: Create knowledge graphs that improve AI search accuracy by understanding entity relationships and context 

• Investment Network Analysis: Map complex relationships between investors, funds, portfolio companies, and market segments 

• Compliance Graph Modelling: Model regulatory relationships and fund terms to support automated auditing and compliance validation 

• Customer Relationship Intelligence: Build relationship graphs for customer relations monitoring and expansion opportunity identification 

• Predictive Modelling Support: Provide graph-based features for investment prediction and risk assessment models 

• Document Relationship Mapping: Connect legal documents, contracts, and agreements through entity and relationship extraction 

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or related field 

• 7+ years of overall IT Experience 

• 4+ years of experience with graph databases, with 2+ years specifically in Neo4j 

• Strong background in data modelling, particularly for complex relationship structures 

• Experience with financial services data and regulatory requirements preferred 

• Proven experience integrating graph databases with AI/ML systems 

• Understanding of knowledge graph concepts and semantic technologies 

• Experience with high-volume, production-scale graph database implementations 

Technology Skills

• Graph Databases: Neo4j (primary), Cypher query language, APOC procedures, Neo4j Graph Data Science library 

• Programming: Python, Java, or Scala for graph data processing and integration 

• AI Integration: Experience with graph-enhanced RAG systems, vector embeddings in graph context, GraphRAG implementations 

• Data Processing: ETL pipelines, data transformation, real-time data streaming (Kafka, Apache Spark) 

• Cloud Platforms: Neo4j Aura, Azure integration, containerized deployments 

• APIs: Neo4j drivers, REST APIs, GraphQL integration 

• Analytics: Graph algorithms (PageRank, community detection, shortest path, centrality measures) 

• Monitoring: Neo4j monitoring tools, performance profiling, query optimization 

• Integration: Elasticsearch integration, vector database connections, multi-modal data handling 

Specific Technical Requirements

• Knowledge Graph Construction: Entity resolution, relationship extraction, ontology modelling 

• Cypher Expertise: Advanced Cypher queries, stored procedures, custom functions 

• Scalability: Clustering, sharding, horizontal scaling strategies 

• Security: Graph-level security, role-based access control, data encryption 

• Version Control: Graph schema versioning, migration strategies  

• Backup & Recovery: Graph database backup strategies, disaster recovery planning 

Industry Context Understanding

• Fund Administration: Understanding of fund structures, capital calls, distributions, and investor relationships 

• Financial Compliance: Knowledge of regulatory requirements and audit trails in financial services 

• Investment Workflows: Understanding of due diligence processes, portfolio management, and investor reporting 

• Legal Document Structures: Familiarity with LPA documents, subscription agreements, and fund formation documents 

Collaboration Requirements

• AI/ML Team: Work closely with GenAI engineers to optimize graph-based AI applications 

• Data Architecture Team: Collaborate on overall data architecture and integration strategies 

• Backend Developers: Integrate graph databases with application APIs and microservices 

• DevOps Team: Ensure proper deployment, monitoring, and maintenance of graph database infrastructure 

• Business Stakeholders: Translate business requirements into effective graph models and queries 

Performance Expectations

• Query Performance: Ensure sub-second response times for standard relationship queries 

• Scalability: Support 100k+ users with concurrent access to graph data 

• Accuracy: Maintain data consistency and relationship integrity across complex fund structures 

• Availability: Ensure 99.9% uptime for critical graph database services 

• Integration Efficiency: Seamless integration with existing FundPanel.io systems and new AI services 

This role offers the opportunity to work at the intersection of advanced graph technology and artificial intelligence, creating innovative solutions that will transform how fund administrators understand and leverage their data relationships.