Hiring organization :IT service company

Salary : Not disclosed , Experience : 5- 8 years

Senior Consultant Graph Platform Job in Hyderabad Bangalore India

Location : Hyderabad, Bangalore

Company is looking for a Knowledge Graph Engineer (Senior Consultant) to design and develop a cloud-native, AI-powered knowledge graph platform that transforms structured and unstructured data into semantic intelligence. In this role, you will work across data engineering, GenAI enablement, and cloud-native architectures to build scalable, intelligent data platforms while enabling advanced data insights and automation.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python within Azure ecosystem (ADF, Functions, AKS)
• Build and manage data ingestion and transformation workflows for structured and unstructured data
• Orchestrate pipelines for seamless integration into graph and relational databases
• Implement GenAI-powered NLP workflows using LangChain and LangGraph
• Design and manage data models for Neo4j AuraDB and PostgreSQL
• Enable semantic enrichment and graph-based intelligence for enterprise data
• Develop and maintain RESTful APIs (FastAPI/Flask) for data ingestion and orchestration
• Collaborate with DevOps teams to deploy applications on Azure Kubernetes Service (AKS)
• Implement autoscaling solutions using KEDA
• Ensure strong CI/CD pipelines and deployment practices
• Build and enhance RAG pipelines and AI-powered retrieval systems
• Integrate LangGraph workflows with Neo4j Cypher for intelligent querying
• Support automated insights and reporting
• Implement security and compliance controls using Azure Defender, Key Vault, and Managed Identities
• Ensure adherence to cloud security and data governance standards

Key Skills and Qualifications

• 5–6 years of experience in data engineering or related roles
• Strong proficiency in Python and data pipeline development
• Hands-on experience with Azure services (ADF, Azure Functions, AKS)
• Experience with Neo4j (AuraDB) and PostgreSQL
• Familiarity with LangChain, LangGraph, and GenAI/NLP workflows
• Experience building REST APIs using FastAPI or Flask
• Knowledge of containerization and Kubernetes (AKS)
• Understanding of RAG pipelines and AI-powered retrieval systems
• Experience with CI/CD practices and DevOps integration
• Strong understanding of data security, governance, and compliance

Preferred Qualifications

• Experience with knowledge graph architectures and semantic data modeling
• Familiarity with KEDA autoscaling
• Exposure to Azure Defender and Key Vault
• Experience working in large-scale enterprise or consulting environments