Data Engineer

Position Summary:

A Data Engineer designs and maintains scalable data pipelines and storage systems, with a focus on integrating and processing knowledge graph data for semantic insights. They enable efficient data flow, ensure data quality, and support analytics and machine learning by leveraging advanced graph-based technologies.

How You'll Make an Impact (responsibilities of role)

· Build and optimize ETL/ELT pipelines for knowledge graphs and other data sources.
· Design and manage graph databases (e.g., Neo4j, AWS Neptune, ArangoDB).
· Develop semantic data models using RDF, OWL, and SPARQL.
· Integrate structured, semi-structured, and unstructured data into knowledge graphs.
· Ensure data quality, security, and compliance with governance standards.
· Collaborate with data scientists and architects to support graph-based analytics.
What You Bring (required qualifications and skills)
· Education: Bachelor's/master's in computer science, Data Science, or related fields.
· Experience: 3+ years of experience in data engineering, with knowledge graph expertise.
· Proficiency in Python, SQL, and graph query languages (SPARQL, Cypher).
· Experience with graph databases and frameworks (Neo4j, GraphQL, RDF).
· Knowledge of cloud platforms (AWS, Azure).
· Strong problem-solving and data modeling skills.
· Excellent communication skills, with the ability to convey complex concepts to non-technical stakeholders.
· The ability to work collaboratively in a dynamic team environment across the globe.