Fraud Prevention Specialist I

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Assist in the maintenance, development, and scalability of the Relationship Intelligence platform.

• Act as the technical data authority for the platform.

• Lead the enhancement of data ingestion pipelines and database update workflows.

• Ensure data quality, consistency, traceability, and governance standards are met.

• Promote advanced graph-based data modeling and intricate relationship modeling.

• Facilitate the platform’s scalability across new business sectors and offerings.

• Define and implement standards for Data Quality, Observability, and Monitoring.

• Collaborate with Engineering, Product, Architecture, and Security teams.

• Support initiatives aimed at performance and cost optimization in the AWS environment.

• Contribute to the development of new analytical capabilities, APIs, and relationship intelligence services.

• Engage in defining the future architecture of the data platform.

• Support integration strategies that involve AI models, analytics, and intelligent agents.

• Establish data governance and quality practices for the Relationship Intelligence platform within the first year.

• Industrialize database update processes.

• Enhance platform observability and monitoring.

• Support expansion into new business sectors.

• Mitigate operational risks associated with data.

• Become the primary data authority for the product.

⛳️ Requirements

• Extensive experience in Data Engineering.

• Proven experience as a technical data authority or Data Technical Lead.

• Experience in high-volume data environments.

• Familiarity with cloud data architecture.

• Proficient in advanced Python.

• Proficient in advanced SQL.

• Experience with Apache Airflow.

• Knowledge of Git.

• Experience with REST APIs.

• Advanced expertise in AWS cloud services.

• Experience with Amazon S3.

• Knowledge of IAM.

• Familiarity with Amazon CloudWatch.

• Experience with Amazon DynamoDB.

• Knowledge of Amazon Athena or similar analytics services.

• Proficient in ETL and ELT processes.

• Understanding of Data Quality principles.

• Knowledge of Data Lineage.

• Familiarity with Data Governance.

• Experience with Data modeling.

• Knowledge of Data Observability.

• Skills in pipeline optimization.

• Strong analytical abilities.

• Architectural perspective.

• Technical autonomy.

• Capability to influence decision-making.

• Ability to work effectively in multidisciplinary settings.

• Excellent communication skills with both technical and business stakeholders.

• Experience with Neo4j, Amazon Neptune, graph databases, graph analytics, Relationship Intelligence, and Entity Resolution is highly advantageous.

• Familiarity with Fraud Analytics, Compliance Analytics, AML/CTF, Identity & Fraud, CI/CD for data platforms, Databricks, Spark, OpenSearch, Knowledge Graphs, and GenAI applied to data, MCP, and LLM integration is desirable.

• Advanced experience in Python and SQL.

• Experience with cloud data architecture, preferably AWS.

• Familiarity with data orchestration tools.

• Understanding of data modeling, Data Quality, and Data Governance.

• Knowledge of Graph Theory.

🏝️ Benefits

• Experian’s people-first, inclusive, and purpose-driven culture.

• Equal Opportunity and Affirmative Action employer.

• Accommodation support for disabilities or special needs.