Graph Data Engineer

Data Engineer

Responsibilities

• Design and implement data pipelines to transform raw datasets into structured, semantic entities.
• Model objects, attributes, and relationships that represent real-world business processes.
• Build and maintain graph/semantic data layers to unify diverse data sources.
• Expose data via GraphQL and REST APIs for use by applications and AI systems.
• Ensure governance, lineage, and data quality across the pipeline.

Core Skills & Tools

• SQL (advanced querying, schema design).
• Python (data wrangling, PySpark, ETL/ELT pipelines).
• Graph databases (Neo4j, RDF/OWL, property graphs).
• Data modeling (ER models, semantic abstraction, domain-driven design).
• GraphQL / REST APIs (data access and integration).
• Cloud data platforms (AWS, GCP, or Azure).