Graph Data Engineer
Tasks
- Build data ingestion pipelines from RDBMS data lakes and streaming sources
- Build fraud entity resolution and network exploration solutions
- Collaborate with fraud analytics teams to translate requirements into graph solutions
- Design Neo4j graph data models for fraud analytics
- Develop Cypher queries for relationship traversal and pattern detection
- Integrate Neo4j with applications using drivers and APIs
- Maintain documentation and improve platform practices
- Troubleshoot monitor and support graph platform in production
- Tune queries indexing and schema for performance
Perks/Benefits
- Company-Paid Holidays
- Employee assistance programs
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plan
Skills/Tech-stack
AML | Cypher | Data Ingestion | Data Modeling | Data integration | Database Performance Optimization | Database performance | ETL | Entity Resolution | Financial risk | Financial risk analytics | Fraud Detection | Graph Data | Graph Data Modeling | Indexing | Java | Neo4j | Performance optimization | Python | Query Tuning | Risk Analytics
Education
N/A
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