Job Title

Role: Amazon Neptune DeveloperExperience: 3 – 8 yearsLocation: HyderabadWork Mode: Hybrid (3 days/week in-office)Join Time: ImmediateDomain : Healthcare / Life SciencesKey Responsibilities:Design and implement graph data models in Amazon Neptune (Property Graph / RDF).Develop, optimize, and maintain graph queries using openCypher / Gremlin / SPARQLOptimize graph queries, indexing strategies, and performance.Implement ETL pipelines to ingest data into Neptune from S3, RDS, and data lakes.Design and build Healthcare Knowledge Graphs using Amazon Neptune (Graph DB)Develop data solutions using AWS S3, Glue, Lambda, EMR (Spark), Athena, and RedshiftWork with AI/ML teams to support Knowledge Graphs, RAG pipelines, and Agentic AI systems.Must-Have Technical Skills: 4–8 years of strong experience in Data Engineering on AWS Cloud with Amazon Neptune.Expertise in at least one graph query language: Gremlin, SPARQL, or openCypher.Solid programming experience in Python, SQL, PySpark, Java, or Node.js.Deep understanding of graph data modeling concepts.Hands-on experience with Amazon Neptune (Graph Database)Solid understanding of ETL/ELT frameworks and distributed data processingExperience building and optimizing scalable, production-grade data pipelinesNice to Have / Preferred Skills: Experience with AI Agents / Agentic AI frameworks (LangGraph, AutoGen, CrewAI, ADK)Knowledge of LLMs, Prompt Engineering, and Retrieval-Augmented Generation (RAG)Experience integrating Knowledge Graphs with AI agents