Join Capgemini as a Fraud Analytics Developer, where you'll utilize your big data skills to build AML platforms. Engage with high-volume transactions while enhancing compliance and investigation processes.

In this role, your focus will be on developing real-time and batch data pipelines for fraud detection. You will ensure data quality and compliance while collaborating with other teams to monitor alerts and troubleshoot issues in production environments. Your expertise in data processing will be vital for maintaining operational efficiency.

Key Responsibilities:
• Build scalable data pipelines for AML monitoring
• Process streaming transaction data with Spark and Kafka
• Create ETL/ELT workflows for transaction insights
• Ensure data quality and compliance through monitoring
• Collaborate with teams to troubleshoot data issues

Requirements:
• Proficient in Apache Spark and SQL
• Hands-on experience with K...