Capgemini is looking for a Big Data Developer specialized in fraud analytics. Get ready to build impactful data pipelines for real-time and batch processing of financial transactions.
In this role, you will enhance AML platforms by designing scalable data pipelines focused on fraud detection. Successful candidates will utilize Apache Spark and Kafka while ensuring compliance with regulatory standards. Your expertise will directly impact transaction monitoring and investigations.
Key Responsibilities:
• Design real-time and batch data pipelines for fraud detection
• Process transaction data using Apache Spark and Kafka
• Develop ETL workflows for customer transaction datasets
• Ensure data quality for audit readiness and compliance
• Optimize for low-latency, high-throughput analytics
Requirements:
• Strong experience with Apache Spark, SQL, and Streaming
• Hands-on expertise in Kafka or event streaming frameworks
• Proficient in Hadoop ecosystem: HDFS, ...