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).