We are seeking a Big Data Developer to build and enhance realtime and batch fraud analytics AML platforms that process high-volume financial transactions. The role focuses on developing scalable data pipelines that support transaction monitoring, alert generation, investigations and regulatory compliance.

Responsibility

• Design and build realtime and batch data pipelines for fraud detection and AML monitoring
• Process streaming transaction data using Apache Spark and Kafka
• Develop ETL/ELT workflows supporting customer transaction and risk datasets
• Ensure data quality, traceability and audit readiness to meet regulatory requirements
• Optimize performance for low latency, high throughput fraud use cases
• Support alert data generation and downstream analytics/investigation platforms
• Monitor and troubleshoot production data pipelines in secure environments
• Collaborate with fraud risk compliance ...