Data Engineer, Fraud - Remote

Overview

Xcelirate develops technologically-advanced platforms which are accessed by thousands of users every minute! We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion. We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible.

In Short

• A Data Engineer experienced in Fraud data is needed.
• Design and maintain robust data infrastructure for fraud detection.
• Build scalable data pipelines and storage systems.
• Support fraud analytics and enable analysts to address fraud patterns.
• Integrate external fraud detection models into the data infrastructure.
• Optimise data storage solutions for fraud signal analysis.
• Create fraud-specific datasets to enhance detection accuracy.
• Monitor and troubleshoot fraud data pipelines.
• Document best practices for fraud-related data engineering.
• Collaborate with teams to address fraud trends.

Requirements

• Experience in data engineering.
• Knowledge of fraud detection methodologies.
• Proficiency in building data pipelines.
• Experience with data storage solutions.
• Ability to work collaboratively with cross-functional teams.
• Strong problem-solving skills.
• Familiarity with analytics tools.
• Excellent communication skills.

Benefits

• Opportunity to work with a talented team.
• Engaging and innovative work environment.
• Potential for professional growth and development.
• Contributions to impactful projects.