Description

You will design and develop graph data models using platforms like Neo4j, Amazon Neptune, or TigerGraph. You will build and optimize ETL/ELT pipelines for graph-based systems to create knowledge graphs that uncover relationships and insights. You are responsible for ensuring data quality, governance, and security while integrating graph solutions with enterprise data platforms and APIs. You will provide technical leadership and establish best practices in graph architecture.

Responsibilities

• Design and develop graph data models using Neo4j, Amazon Neptune, or TigerGraph.
• Build and optimize ETL/ELT pipelines for graph-based systems.
• Create knowledge graphs to uncover relationships and insights.
• Ensure data quality, governance, and security across graph solutions.
• Integrate graph solutions with enterprise data platforms and APIs.

Required Skills

• Strong experience with Graph Databases (Neo4j, Neptune, TigerGraph).
• Proficiency in Cypher, Gremlin, or SPARQL.
• Hands-on experience with Data Architecture & Modeling.
• Experience in .NET (Must Have).
• Programming skills in Python, Java, or Scala.
• Experience with ETL pipelines and large-scale data processing.
• Familiarity with cloud platforms (AWS/Azure/GCP).

Preferred Skills

• Knowledge of Graph RAG patterns.
• Experience with Semantic Web (RDF, OWL, Linked Data).
• Exposure to Power BI, Databricks, Azure DevOps.

Key Skills

Education

Bachelor's degree