Big Data Developer for Fraud Analytics

Capgemini seeks a Big Data Developer to craft robust real-time and batch fraud analytics platforms. Collaborate on building scalable data pipelines and ensure regulatory compliance in financial transaction processing.

In this key role, you will focus on developing ETL workflows and enhancing fraud detection capabilities using technologies like Apache Spark and Kafka. Your expertise will be crucial in optimizing performance for high-volume transactions and supporting investigation platforms to ensure compliance and quality.

Key Responsibilities: • Design real-time data pipelines for fraud detection • Process transaction data using Apache Spark and Kafka • Develop ETL/ELT workflows for risk datasets • Ensure data quality for regulatory compliance • Monitor production data pipelines in secure environments

Requirements: • Strong experience with Apache Spark Core SQL Streaming • Hands-on expertise in Kafka or event streaming frameworks • Proficiency in Hadoop ecos...