Found Description
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 ...