Company Description
krtrimaIQ 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 Engineer
Position Overview
Build and implement enterprise Knowledge Graph infrastructure, data pipelines, and integrations using Neo4j AuraDB and Graph Data Science capabilities.
Key Responsibilities Data 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 capabilities
CI / CD Pipeline Implementation
Build Git-based versioning systems for ontology artifactsImplement automated unit and integration validation for ontology changesDevelop build and release pipelines for ontology deployment across environmentsCreate automated ingestion pipeline deploymentsImplement approval workflows for schema evolutionSet up GitHub-based source code management for all componentsNeo4j AuraDB Integration & Platform Engineering
Configure and optimize Neo4j AuraDB instancesEstablish connectivity between AuraDB and cloud environments (Azure / AWS)Implement role mapping, security integration, and policy alignmentSet up performance monitoring dashboards, alerts, and health checksEstablish baseline performance metrics (throughput, latency, capacity)Implement SLA monitoring using Neo4j observability toolsOptimize Cypher queries for performanceGraph Data Science & ML Integration
Implement Graph Data Science (GDS) pipelines including :
Node embeddingsGraph metrics and algorithmsCommunity detectionCentrality measuresSimilarity algorithmsGenerate ML-ready feature sets for downstream modelingBuild automated refresh mechanisms for graph featuresIntegrate graph features into existing ML / MLOps pipelinesCreate seamless export patterns for AI workflowsOperations & Monitoring
Develop performance baseline and capacity assessmentsCreate runbooks and support proceduresImplement monitoring and alerting systemsCollaborate with Data Services teams for operational handoffRequired Qualifications Technical Expertise
7+ years in data engineering and pipeline development3+ years hands-on experience with Neo4j AuraDB (certification required : Neo4j Certified Professional)Strong expertise in Cypher query language and query optimizationExperience with Neo4j Graph Data Science (GDS) libraryProficiency in Python or Java for pipeline developmentStrong ETL / ELT development experiencePlatform & Cloud Experience
Experience with Neo4j AuraDB SaaS platformCloud 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 pipelinesUnderstanding of data science workflows and feature engineeringKnowledge of data quality frameworks and governanceExperience with data lineage and metadata managementTools & Technologies
Neo4j AuraDB, Neo4j Browser, Neo4j BloomNeo4j Graph Data Science libraryPython (pandas, neo4j-driver, networkx)ETL tools and frameworksGitHub, CI / CD toolsMonitoring tools (Prometheus, Grafana, or similar)Cloud services (Azure / AWS connectivity layer)Soft Skills
Strong problem-solving and debugging skillsAbility to optimize for performance and scalabilityCode review and mentoring capabilitiesCollaborative 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 experienceAvailable for weekly status calls and project updatesAbility to work within established governance and approval frameworksStrong documentation and knowledge transfer capabilitiesPlease share your profile on nikhil.kumar@krtrimaiq.ai