Graph Data Engineer

Capgemini

Atlanta, GA, US
Base: 80,420 - 106,050; bonus/equity: not specifie...
On-site
Neo4j graph database experience
Cypher query language expertise
Graph data modeling
Design and implement Neo4j graph data models for fraud and risk analytics

Job Summary

  • Design and implement Neo4j graph data models for fraud and risk analytics.
  • Develop and optimize Cypher queries for deep relationship traversal and pattern detection.
  • Collaborate with fraud analysts, data engineers, and data scientists to enable real-time and investigative fraud use cases.

Matching Summary

Design and implement Neo4j graph data models for fraud and risk analytics.

Salary

Base: 80420 - 106050; Bonus/Equity: Not specified; Benefits: Comprehensive package

Skills & Requirements

Must-have

  • Neo4j Graph Database experience
  • Cypher query language expertise
  • Graph data modeling
  • Fraud detection solutions
  • Python or Java proficiency
  • ETL/ELT pipelines

Nice-to-have

  • AML/risk analytics experience
  • Real-time fraud use cases
  • Collaborative team environment

Key Requirements

  • Strong hands-on experience with Neo4j
  • Solid expertise in Cypher query language
  • Good understanding of graph data modeling
  • Experience with fraud/AML/risk analytics
  • Proficiency in Python and/or Java
  • Experience with ETL/ELT pipelines

Work Rights

Not specified

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