📋 Job Details at a Glance 📍 Location Hyderabad / Noida / Gurgaon 🏢 Hiring Partner Deltacubes (Client: LTI Mindtree) 👥 Experience 10+ years 🎓 Qualification Bachelor's / Master's (CS, Data Science, Engineering, Math) 📅 Job ID 1500090 / 902137 📄 Listing Type Partner Job · Full Time (FTE) 💰 FTE Budget ₹22,00,000 / per annum 🏢 Category Technology · Graph / Data Engineering 🛠 Key Skills Enterprise Graph Data Modeling Property Graphs / LPG RDF / Ontologies Neo4j Amazon Neptune Cypher SPARQL Gremlin Python Graph Database Engineer (FTE) — Partner Job | Deltacubes (LTI Mindtree Client) This is a NexisGrow Partner Job . Deltacubes is the hiring partner / payroll employer for a direct client engagement with LTI Mindtree . Selected candidates join as full-time employees of Deltacubes and will be required to work from the LTI Mindtree office in Hyderabad, Noida or Gurgaon . This long-term senior role owns enterprise graph data modeling and graph platforms — property graphs (LPG), RDF/ontologies, Neo4j / Amazon Neptune / Dydra (or equivalent), Cypher / SPARQL / Gremlin, Python, ETL/ELT, Spark/Databricks/Airflow, lakehouse modeling, distributed data platforms, DevOps/CI-CD/IaC, and enterprise data architecture that feeds analytics, AI/ML, semantic search, RAG, and knowledge discovery. Expected experience is 10+ years . FTE budget is up to ₹22,00,000 / per annum . Applicants must share Current CTC and Expected CTC (ECTC) . Job ID: 1500090 / 902137 . 📊 Role Difficulty: Very High | Competition Level: High | Fresher Friendly: No 📌 Employment Note: Partner Job — FTE with Deltacubes for LTI Mindtree client work (office-based). Selection and employment are handled by the hiring partner. NexisGrow is not the employer. Must-have: Graph modeling, LPG/RDF/ontologies, Neo4j/Neptune/Dydra (or equivalent), Cypher/SPARQL/Gremlin, Python, ETL/ELT, Spark/Databricks/Airflow, data integration, relational/analytical/lakehouse modeling, distributed platforms, DevOps/CI-CD/IaC, enterprise data architecture. Good to have: Databricks Lakehouse, Delta Lake, Unity Catalog, AWS (S3, Neptune, Glue, Athena, IAM, Lambda), graph analytics / GDS, graph ML, semantic search / knowledge graphs / RAG, recommendation systems, Dash/Shiny/Grafana/Splunk/Databricks viz. Job Role & Responsibilities As the Graph Database Engineer, you will design and deliver scalable enterprise graph architectures and the data engineering that keeps them production-ready. Design and implement scalable enterprise graph data models and graph-based architectures. Build and maintain graph data platforms using Neo4j, Amazon Neptune, Dydra, or equivalent solutions. Develop graph schemas, ontologies, semantic models, and metadata frameworks aligned to business requirements. Design, develop, and optimize ETL/ELT pipelines to ingest and integrate data from diverse enterprise sources. Translate complex business requirements into robust graph, relational, analytical, and Lakehouse data solutions. Develop graph queries, APIs, and data services using Cypher, SPARQL, Gremlin, and Python. Collaborate with business stakeholders, data consumers, architects, and source-system owners to define scalable data solutions. Build data products that support analytics, AI/ML, semantic search, RAG, and knowledge discovery initiatives. Ensure data quality, governance, security, and performance across graph and analytical platforms. Lead architecture reviews, technical design discussions, and best-practice adoption. Implement CI/CD pipelines, Infrastructure-as-Code, and DevOps practices for production deployments. Mentor engineering teams and drive technical excellence across graph and data engineering initiatives. Required Skills & Technical Competencies Primary Skills (Must-Have) Enterprise Graph Data Modeling Property Graphs (LPG), RDF, Ontologies, Semantic Modeling Graph Databases: Neo4j, Amazon Neptune, Dydra or equivalent Graph Query Languages: Cypher, SPARQL, Gremlin Python Development ETL/ELT Development Apache Spark, Databricks, Airflow or similar platforms Data Integration and Data Engineering Relational, Analytical and Lakehouse Data Modeling Distributed Data Platforms DevOps, CI/CD and Infrastructure-as-Code Enterprise Data Architecture Secondary Skills (Good-to-Have) Databricks Lakehouse Platform; Delta Lake; Unity Catalog AWS Services (S3, Neptune, Glue, Athena, IAM, Lambda) Graph Analytics and Graph Data Science; Graph-based Machine Learning Semantic Search, Knowledge Graphs, RAG Solutions; Recommendation Systems Data Visualization Tools (Dash, Shiny, Grafana, Splunk, Databricks Visualization) Nice-to-Have Knowledge Graph Engineering; Graph-based AI Solutions; Semantic Modeling Frameworks Graph Data Science Libraries; Recommendation Engines Enterprise Metadata Management; Data Visualization and Reporting Platforms Relevant certifications in AWS, Databricks, Neo4j, or Data Engineering On your resume, highlight one end-to-end graph platform: ontology/LPG model + Neo4j/Neptune (Cypher/SPARQL/Gremlin) + Python ETL/Spark-Databricks-Airflow pipelines + governance/CI-CD for analytics, RAG, or knowledge discovery. Eligibility Criteria Minimum 10+ years in Data Engineering, Data Architecture, or Graph Technologies. Bachelor's or master's in Computer Science, Data Science, Engineering, Mathematics, or related discipline. Hands-on depth across graph modeling, graph DBs/query languages, Python, and modern data platforms (Spark/Databricks/Airflow). Willingness to work from LTI Mindtree office in Hyderabad, Noida or Gurgaon . Must share Current CTC and Expected CTC (ECTC) for FTE shortlisting. ⚠️ Candidates selected for FTE roles will be full-time employees of Deltacubes and will work from the LTI Mindtree office. NexisGrow is not the employer. Expected Deliverables & Success Measures Deliverables Approved enterprise graph models, ontologies/semantic frameworks, and platform architecture. Production graph services (queries, APIs) with documented schemas and integration contracts. Reliable ETL/ELT and lakehouse/analytical pipelines feeding graph and downstream AI/analytics use cases. CI/CD, IaC, quality/governance controls, and architecture review outcomes tracked to closure. Indicative Success Measures Graph and pipeline designs delivered within agreed release timelines. No critical security, quality, or performance gaps at production readiness review. Reusable patterns adopted across teams for modeling, ingestion, and graph query services. Measurable enablement of analytics, RAG/semantic search, or knowledge products on the graph platform. Salary for Graph Database Engineer (FTE) — Partner Budget 💰 FTE Budget (Partner-Provided) ₹22,00,000 / per annum The FTE budget for this role is up to ₹22,00,000 / per annum . Final offer depends on graph platform depth, data engineering strength, interview performance, and CTC fit. Contract budget was not provided for this requisition. Applicants must include Current CTC and Expected CTC (ECTC) for tracker and shortlisting. Recommended Courses & Preparation Tips Recommended Focus Areas NexisGrow GetCertified — Strengthen data / cloud credentials before applying. NexisGrow Resume Builder — Build an ATS-optimized Graph / Data Engineering resume. Common Mistakes to Avoid ❌ Generic data-engineer resumes — Explicitly call out Neo4j/Neptune, Cypher/SPARQL/Gremlin, and ontology/LPG modeling. ❌ Missing Current CTC / ECTC — Required for FTE shortlisting. ❌ No pipeline evidence — Show Spark/Databricks/Airflow or equivalent ETL/ELT ownership. ❌ Ignoring office / city readiness — Confirm Hyderabad, Noida, or Gurgaon. Before You Apply — Checklist ✅ Confirm 10+ years in data engineering / architecture / graph technologies. ✅ Highlight graph DBs, query languages, Python, ETL/ELT, Spark/Databricks/Airflow, lakehouse, DevOps/CI-CD. ✅ Add Current CTC and Expected CTC. ✅ Confirm preferred city among Hyderabad / Noida / Gurgaon. ✅ Note Job ID 1500090 / 902137 . Resume Tailoring & ATS Keywords ATS Keywords to Include Graph Database Neo4j Amazon Neptune Cypher SPARQL Gremlin Property Graph / LPG RDF / Ontologies Knowledge Graphs Python ETL / ELT Apache Spark Databricks Airflow Lakehouse RAG / Semantic Search CI/CD / IaC Resume Tips for This Role Lead with graph platform ownership + 10+ years + Python/data engineering depth. Show modeling (LPG/RDF/ontologies), query languages, pipelines, and production governance. Quantify impact (entities/relationships modeled, query latency, pipeline SLAs, RAG/knowledge products enabled). State Current CTC, Expected CTC, notice period, and preferred office city clearly. Build an ATS-optimized resume with NexisGrow Resume Builder . Pro Tip: Add one architecture bullet covering Neo4j/Neptune + Cypher/SPARQL/Gremlin + Spark/Databricks/Airflow ingestion + CI/CD for a knowledge-graph or RAG use case. How to Apply — Partner Job Apply Now — Graph Database Engineer (FTE) Open the official Apply channel on this NexisGrow Partner Job listing and confirm the role title Graph Database Engineer (FTE) . Prepare an updated resume highlighting graph modeling, Neo4j/Neptune (or equivalent), query languages, Python, and ETL/Spark/Databricks/Airflow delivery. Include Current CTC and Expected CTC (ECTC) clearly for FTE consideration. Mention Job ID 1500090 / 902137 and your preferred office city (Hyderabad / Noida / Gurgaon). Submit and track updates via registered email / hiring-partner communication. Selection and employment are handled by the hiring partner ( Deltacubes ). Early submission with complete CTC and graph-platform evidence is recommended. Apply Now — Graph Database Engineer (FTE) NexisGrow.com does not charge any fees for job applications. NexisGrow is not the employer. Deltacubes Deltacubes is the hiring partner / payroll employer for this Partner Job. The client engagement is with LTI Mindtree . Selected professionals join as full-time employees of Deltacubes and work from the LTI Mindtree office as required. This engagement focuses on enterprise graph platforms , knowledge/semantic modeling, modern data engineering (Spark/Databricks/Airflow), and production DevOps for analytics and AI-ready data products. Company Details Industry IT / Graph / Data Engineering Location Hyderabad / Noida / Gurgaon Connect With Us Apply Apply Now Job ID 1500090 / 902137 Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this Graph Database Engineer role? Eligibility Eligibility + Answer Candidates with 10+ years in data engineering, data architecture, or graph technologies — including Neo4j/Neptune (or equivalent), Cypher/SPARQL/Gremlin, Python, and modern ETL/Spark/Databricks/Airflow delivery — can apply. ? What is the salary budget? Salary Salary + Answer FTE budget is up to ₹22,00,000 / per annum. Current CTC and Expected CTC must be shared while applying. Contract budget was not specified for this requisition. ? Is this LTI Mindtree payroll? Employment Employment + Answer No. Selected FTE candidates will be full-time employees of Deltacubes and will work from the LTI Mindtree office. NexisGrow is not the employer. ? What skills are mandatory? Skills Skills + Answer Enterprise graph modeling, LPG/RDF/ontologies, Neo4j/Neptune/Dydra (or equivalent), Cypher/SPARQL/Gremlin, Python, ETL/ELT, Spark/Databricks/Airflow, data integration, lakehouse/relational/analytical modeling, distributed platforms, DevOps/CI-CD/IaC, and enterprise data architecture. ? Where is the role located? Location Location + Answer Hyderabad, Noida or Gurgaon — LTI Mindtree office engagement. ? What is the Job ID? Job ID Job ID + Answer Job ID is 1500090 / 902137. ? Is there any application fee on NexisGrow? Fees Fees + Answer No. NexisGrow.com does not charge any application or registration fees. 🔗 Explore More on NexisGrow Browse all Tech jobs Graph Database jobs Neo4j openings Databricks openings Deltacubes openings Experienced / Lateral jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official Partner Job channel. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com