Fraud Prevention Specialist I

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

📋 Description

• Act as the primary technical authority for the Relationship Intelligence platform.

• Spearhead the development of ingestion pipelines and updates to the product database.

• Guarantee data quality, consistency, traceability, and governance.

• Enhance graph-oriented data modeling and intricate relationship modeling.

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

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

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

• Aid in performance and cost optimization projects within an AWS environment.

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

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

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

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

• Industrialize the update pipelines for the database.

• Enhance platform observability and monitoring.

• Support the 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 track record as a technical data authority or data technical lead.

• Experience in high-volume environments.

• Familiarity with cloud data architecture.

• Proficient in Advanced Python.

• Proficient in Advanced SQL.

• Experience with Apache Airflow.

• Proficient in Git.

• Familiarity with REST APIs.

• Advanced knowledge of AWS.

• Experience with Amazon S3.

• Proficient in IAM.

• Knowledge of Amazon CloudWatch.

• Familiarity with Amazon DynamoDB.

• Experience with Amazon Athena or equivalent analytics services.

• Knowledge of ETL and ELT processes.

• Expertise in Data Quality.

• Understanding of Data Lineage.

• Familiarity with Data Governance.

• Proficient in Data modeling.

• Knowledge of Data observability.

• Experience in Pipeline optimization.

• Strong analytical abilities.

• Architectural mindset.

• Technical autonomy.

• Capability to influence decisions.

• Comfortable in multidisciplinary settings.

• Exceptional communication skills with both technical and business teams.

• Knowledge of Graph Theory.

• Familiarity with Neo4j, Amazon Neptune, graph databases, graph analytics, relationship intelligence, and entity resolution is highly beneficial.

• Experience in fraud analytics, compliance analytics, AML/CFT, identity and fraud, CI/CD for data platforms, Databricks, Spark, OpenSearch, knowledge graphs, GenAI applied to data, MCP, and LLM integration is desirable.

🏝️ Benefits

• Remote work opportunities available.

• A culture that is inclusive and purpose-driven.

• An Equal Opportunity and Affirmative Action employer.

• Support for accommodations for disabilities or special needs.