Big Data Developer

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 and downstream appl...