Graph Data Engineer

Job Description

We are seeking a highly motivated and experienced Data Engineer with a strong focus on Graph Databases to join our growing data team. In this role, you will be responsible for designing, building, and maintaining robust and scalable graph-based data solutions. You will work closely with data scientists, analysts, and application development Key / Primary Responsibilities- Graph Data Modeling and Design: Design and implement efficient and scalable graph data models using appropriate graph database technologies (e.g., Neo4j, Amazon Neptune, TigerGraph, etc.). Translate business requirements into effective graph schemas and data structures. o Optimize graph models for performance and query efficiency. ? Graph Database Development and Management: o Develop and maintain graph database instances, including installation, configuration, and performance tuning. o Implement data ingestion and transformation pipelines to populate graph databases from various data sources. o Develop and optimize Cypher, Gremlin, or other graph query languages for complex data retrieval and analysis. o Implement data security and access control mechanisms for graph databases. Monitor and maintain the health of graph databases. ? Data Integration and ETL/ELT: Design and implement ETL/ELT processes to integrate data from diverse sources into graph databases. Develop and maintain data pipelines using tools like Apache Kafka, Apache Airflow, or similar technologies. o Ensure data quality and consistency throughout the data integration process. ? Graph Analytics and Application Development