We are seeking a highly skilled Graph Data Engineer to design, build, and optimize graph-based data solutions that power complex relationships, connected datasets, and advanced analytics. You will play a key role in developing scalable data pipelines, graph models, and query frameworks that enable efficient exploration of interconnected data across large-scale systems.
The ideal candidate has strong expertise in Python and SQL, along with hands-on experience in data engineering, ETL development, and database optimization. Exposure to graph database technologies such as Amazon Neptune, TigerGraph, or Neo4j is highly desirable. This role offers the opportunity to work on cutting-edge data architectures and solve challenging problems involving highly connected data.
