Job Description We are seeking a Big Data Developer to build and enhance real‑time 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.

Key Responsibilities

Design and build real‑time 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...