Especialista de Prevencao a Fraude I
Core
Technical data lead responsible for sustaining, evolving, and scaling the 'Teia' graph-based platform for fraud prevention, compliance, and relationship intelligence.
Role type
Senior Data Engineer (Graph/Cloud)
Builds
Graph-based relationship intelligence platform (Teia) for fraud prevention and risk analysis
Domain
Financial Services / Fraud Prevention / Graph Databases
Deliverable
production ML models
Required skills
Data Engineering, Cloud Architecture, Graph Data Modeling, Data Quality & Governance, Python, SQL, AWS, Data Pipelines (ETL/ELT), Data Orchestration
Preferred skills
Neo4j, Amazon Neptune, Graph Analytics, Entity Resolution, GenAI/LLM integration, CI/CD for data platforms
Technologies
Python, SQL, Apache Airflow, Git, AWS (S3, IAM, CloudWatch, DynamoDB, Athena), Neo4j, Amazon Neptune, Spark, Databricks, OpenSearch
Responsibilities
Lead evolution of data ingestion and update pipelines, ensure data quality/consistency/traceability, evolve graph data modeling, support platform scalability, define Data Quality/Observability standards, optimize AWS performance/costs, support AI/ML integration initiatives
Seniority
Senior, hands-on IC
