Especialista de Prevencao a Fraude I
Core
Build and scale a graph-based relationship intelligence platform (Teia) connecting hundreds of millions of entities to support fraud prevention, compliance, and risk analysis.
Role type
Senior Data Engineer (Graph Data & Architecture)
Builds
Graph database platform, data pipelines, and relationship intelligence services for fraud and risk analytics.
Domain
Financial services / Fraud prevention / Graph analytics
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, AWS, Data Orchestration, Data Modeling, Data Quality, Graph Theory
Preferred skills
Neo4j, Amazon Neptune, Graph Databases, Entity Resolution, CI/CD, Spark, GenAI integration
Technologies
Python, SQL, Apache Airflow, Git, AWS (S3, IAM, CloudWatch, DynamoDB, Athena), Neo4j, Amazon Neptune, Spark, OpenSearch
Responsibilities
Lead evolution of data ingestion and update pipelines; Ensure data quality, consistency, and governance; Evolve graph-based data modeling; Support platform scalability for new business verticals; Define and implement Data Quality and Observability standards; Collaborate with Engineering, Product, and Security teams; Optimize performance and costs in AWS environment.
Seniority
Senior, hands-on IC with technical leadership
