Location
toronto
Job Type
Full-time
Posted
July 04, 2026
Job Description
Become a vital player in fraud detection as a Real-time Data Developer with Cynet Systems Inc. This role focuses on the design and optimization of data pipelines for regulatory compliance and analytics.
In this position, you will leverage tools like Apache Spark and Kafka to process streaming data and build critical ETL workflows for transaction datasets. You will need hands-on experience in SQL and programming, ensuring low-latency solutions that meet business and compliance needs. Collaborating closely with various teams, your work supports ongoing investigations in fraud analytics.
Key Responsibilities:
• Build real-time and batch processing data pipelines
• Use Apache Spark and Kafka for data transactions
• Develop and manage ETL workflows
• Monitor data quality and compliance standards
• Collaborate with fraud risk analysis teams
Requirements:
• Strong background in Apache Spark, SQL, and Kafka
• Prof...
In this position, you will leverage tools like Apache Spark and Kafka to process streaming data and build critical ETL workflows for transaction datasets. You will need hands-on experience in SQL and programming, ensuring low-latency solutions that meet business and compliance needs. Collaborating closely with various teams, your work supports ongoing investigations in fraud analytics.
Key Responsibilities:
• Build real-time and batch processing data pipelines
• Use Apache Spark and Kafka for data transactions
• Develop and manage ETL workflows
• Monitor data quality and compliance standards
• Collaborate with fraud risk analysis teams
Requirements:
• Strong background in Apache Spark, SQL, and Kafka
• Prof...
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