Data Engineer (Knowledge Graph)

Meduzzen is seeking a Data Engineer to build a system that integrates multiple databases and external APIs while constructing a real-time knowledge graph. The role focuses on designing scalable data pipelines and optimizing graph-based data models for complex entity relationships.

• Design, build, and maintain scalable data pipelines
• Develop and optimize graph-based data models (nodes, edges, properties)
• Build and maintain a real-time knowledge graph
• Integrate multiple data sources (APIs, SQL, NoSQL databases)
• Optimize graph queries and data processing performance
• Work with cloud infrastructure (AWS)
• Collaborate with backend and product teams to design data solutions
• Build proof-of-concept solutions involving graph technologies

Required:

• 3+ years of experience as a Data Engineer or Backend Engineer (data-heavy projects)
• Hands-on experience with graph databases (Neo4j, ArangoDB, Amazon Neptune, etc.) - minimum 6 months mandatory
• Strong knowledge of SQL and NoSQL databases
• Experience building data pipelines and working with large datasets
• Good understanding of data modeling, especially graph structures
• Experience with AWS or other cloud platforms
• Python proficiency
• English (Upper-Intermediate or higher)

Nice to Have:

• Experience with knowledge graphs
• Experience with streaming or real-time data processing
• Background in Computer Science, Mathematics, or related field
• Experience with recommendation systems, analytics, or fraud detection

Remote position with Meduzzen. Schedule and additional benefits not specified in the posting.