Opportunity Description
Shape the future of financial technology as a Senior Data Engineer based in Toronto. Focus on constructing efficient data pipelines that feed advanced fraud detection algorithms and AI capabilities.
Operating in a hybrid setting, you will collaborate with the Platform Engineering Team to build and optimize reusable data architectures. Your expertise will play a vital role in maintaining and securing data streams while exploring new technology options for data storage and processing. This role is where your problem-solving mindset meets groundbreaking tech.
Key Responsibilities:
• Collaborate with engineering teams on data centralization
• Understand and optimize existing data frameworks
• Ensure data flows securely and reliably
• Shape efficient data structures and schemas
• Innovate with new data processing technologies
Requirements:
• Computer Science or Engineering degree
• Proficient in Spark/Scala/Python/Java
• Experience with Spark and Kafka techn...
Operating in a hybrid setting, you will collaborate with the Platform Engineering Team to build and optimize reusable data architectures. Your expertise will play a vital role in maintaining and securing data streams while exploring new technology options for data storage and processing. This role is where your problem-solving mindset meets groundbreaking tech.
Key Responsibilities:
• Collaborate with engineering teams on data centralization
• Understand and optimize existing data frameworks
• Ensure data flows securely and reliably
• Shape efficient data structures and schemas
• Innovate with new data processing technologies
Requirements:
• Computer Science or Engineering degree
• Proficient in Spark/Scala/Python/Java
• Experience with Spark and Kafka techn...
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