Opportunity Description
Join Capgemini as a Big Data Developer, specializing in fraud detection and AML monitoring through sophisticated data pipelines. Your role will drive the processing of financial transactions for improved compliance and investigative capabilities.
This position emphasizes real-time and batch data processing using Apache Spark and Kafka, as well as developing strong ETL workflows. You are expected to ensure data accuracy and readiness for audits, crucial for regulatory compliance in financial services.
Key Responsibilities:
• Design and implement real-time fraud detection pipelines
• Process transactions with Apache Spark and Kafka tools
• Create ETL workflows for high-risk datasets
• Maintain compliance through data quality checks
• Collaborate with compliance and application teams
Requirements:
• Experience with Apache Spark SQL Streaming
• Hands-on Kafka or similar event streaming experience
• Background in Hadoop ecosystem tools (HDFS, Hive)
• Prog...
This position emphasizes real-time and batch data processing using Apache Spark and Kafka, as well as developing strong ETL workflows. You are expected to ensure data accuracy and readiness for audits, crucial for regulatory compliance in financial services.
Key Responsibilities:
• Design and implement real-time fraud detection pipelines
• Process transactions with Apache Spark and Kafka tools
• Create ETL workflows for high-risk datasets
• Maintain compliance through data quality checks
• Collaborate with compliance and application teams
Requirements:
• Experience with Apache Spark SQL Streaming
• Hands-on Kafka or similar event streaming experience
• Background in Hadoop ecosystem tools (HDFS, Hive)
• Prog...
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