Data engineer with Neo4j

Key Responsibilities

• Graph Modeling & Design: Design, develop, and implement graph data models (LPG/RDF) tailored for complex relationship analysis.
• ETL Pipeline Development: Build and maintain high-performance, stable data pipelines using Python/PySpark to ingest data into Neo4j.
• Query Optimization: Write, optimize, and debug advanced Cypher queries, utilizing APOC procedures for maximum efficiency.
• Data Integration: Integrate Neo4j with existing data systems, cloud platforms (AWS/GCP), and relational databases (SQL).
• Graph Data Science (GDS): Leverage Graph Data Science libraries to derive insights and patterns from connected data.
• Performance Tuning: Monitor and improve graph database performance, including indexing and query profiling.