Especialista de Prevencao a Fraude
Core
Technical data reference and lead for a large-scale relational intelligence platform supporting fraud prevention, identity, compliance, and risk initiatives.
Role type
Senior Data Engineering Lead (Graph & Relational Intelligence)
Builds
High-volume data pipelines, graph-oriented data models, and analytical services for fraud intelligence
Domain
Financial Services / Fraud Prevention / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Engineering, Cloud Architecture (AWS), Python, SQL, Data Governance, Data Quality, Data Lineage, Graph Theory, Relationship Modeling
Preferred skills
Neo4j, Amazon Neptune, Apache Airflow, Databricks, Spark, OpenSearch, GenAI, LLM integrations, MCP
Technologies
AWS (S3, IAM, CloudWatch, DynamoDB, Athena), Python, SQL, Apache Airflow, Git, REST APIs, Neo4j, Amazon Neptune, Databricks, Spark, OpenSearch
Responsibilities
Lead evolution of data ingestion and update pipelines; Establish standards for Data Quality, Lineage, Governance, and Observability; Evolve graph-oriented data models for high-volume entities; Optimize cloud infrastructure costs and platform performance; Partner with engineering, product, and security teams to define technical solutions; Contribute to AI model integrations and intelligent agent capabilities.
Seniority
Senior, hands-on IC with leadership responsibilities
