Senior Neo4j Developer

Company DescriptionkrtrimaIQ Cognitive Solutions, based in Bengaluru, is an AI startup committed to driving intelligent digital transformation for global businesses. With expertise in cutting-edge technologies like Agentic AI, Generative AI, Conversational AI, Cognitive Process Automation, and Data Science, the company develops innovative AI and data science products and services. krtrimaIQ serves diverse industries, including Healthcare, Pharma, Banking, Insurance, Retail, Education, and Logistics. The company aims to deliver impactful, tailored solutions that advance business operations through AI-driven insights and automation.Senior Neo4j Developer - Knowledge Graph EngineerPosition Overview Build and implement enterprise Knowledge Graph infrastructure, data pipelines, and integrations using Neo4j AuraDB and Graph Data Science capabilities.Key ResponsibilitiesData Ingestion & Pipeline Development (Primary Focus) ·Develop and implement Knowledge Graph data ingestion pipelines for structured and unstructured data·Build ETL/ELT transformations to map enterprise data to ontology and graph structures·Implement data alignment logic to semantic rules and ontology models·Design and build automated data quality checks and validation frameworks·Implement data lineage tracking and deduplication governance·Develop data versioning and rollback capabilitiesCI/CD Pipeline Implementation ·Build Git-based versioning systems for ontology artifacts·Implement automated unit and integration validation for ontology changes·Develop build and release pipelines for ontology deployment across environments·Create automated ingestion pipeline deployments·Implement approval workflows for schema evolution·Set up GitHub-based source code management for all componentsNeo4j AuraDB Integration & Platform Engineering ·Configure and optimize Neo4j AuraDB instances·Establish connectivity between AuraDB and cloud environments (Azure/AWS)·Implement role mapping, security integration, and policy alignment·Set up performance monitoring dashboards, alerts, and health checks·Establish baseline performance metrics (throughput, latency, capacity)·Implement SLA monitoring using Neo4j observability tools·Optimize Cypher queries for performanceGraph Data Science & ML Integration Implement Graph Data Science (GDS) pipelines including:·Node embeddings·Graph metrics and algorithms·Community detection·Centrality measures·Similarity algorithms·Generate ML-ready feature sets for downstream modeling·Build automated refresh mechanisms for graph features·Integrate graph features into existing ML/MLOps pipelines·Create seamless export patterns for AI workflowsOperations & Monitoring ·Develop performance baseline and capacity assessments·Create runbooks and support procedures·Implement monitoring and alerting systems·Collaborate with Data Services teams for operational handoffRequired QualificationsTechnical Expertise ·7+ years in data engineering and pipeline development·3+ years hands-on experience with Neo4j AuraDB (certification required: Neo4j Certified Professional)·Strong expertise in Cypher query language and query optimization·Experience with Neo4j Graph Data Science (GDS) library·Proficiency in Python or Java for pipeline development·Strong ETL/ELT development experiencePlatform & Cloud Experience ·Experience with Neo4j AuraDB SaaS platform·Cloud environment experience - Azure or AWS (connectivity, integration)·CI/CD pipeline development (GitHub Actions, Azure DevOps, Jenkins)·Experience with Git-based version control and branching strategiesData & ML Integration ·Experience integrating graph features with ML pipelines·Understanding of data science workflows and feature engineering·Knowledge of data quality frameworks and governance·Experience with data lineage and metadata managementTools & Technologies ·Neo4j AuraDB, Neo4j Browser, Neo4j Bloom·Neo4j Graph Data Science library·Python (pandas, neo4j-driver, networkx)·ETL tools and frameworks·GitHub, CI/CD tools·Monitoring tools (Prometheus, Grafana, or similar)·Cloud services (Azure/AWS connectivity layer)Soft Skills ·Strong problem-solving and debugging skills·Ability to optimize for performance and scalability·Code review and mentoring capabilities·Collaborative approach with architects and data scientistsTeam Collaboration This role will work closely with Neo4j Designers and other team members:·Designers create the "what" (ontologies, schemas, models)·Developer builds the "how" (pipelines, integrations, automation)·Joint responsibility for ensuring semantic models are properly implemented and performantProject-Specific Requirements ·Verifiable enterprise Knowledge Graph delivery experience·Available for weekly status calls and project updates·Ability to work within established governance and approval frameworks·Strong documentation and knowledge transfer capabilitiesPlease share your profile on