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Job Description & How to Apply Below
Elevate your career as a Lead Data Engineer in our Toronto office, focusing on real-time data optimizations. Engage with state-of-the-art technologies in a hybrid work setting.
We’re on the hunt for an adept Senior Data Engineer who can manipulate large data sets for operational excellence and advanced AI techniques. You’ll work closely with a diverse team to create and refine data pipelines that enhance fraud detection efforts through real-time analysis. Your hands-on experience with Spark and other technologies will be key to our success.
Key Responsibilities:
• Design and implement comprehensive data pipelines
• Deep-dive into frameworks for improved data utilization
• Directly resolve data integrity and streaming challenges
• Ensure constant data availability for operational efficiency
• Explore innovative technology solutions for processing
Requirements:
• Degree in relevant technical field
• Proficiency in data engineering tools like Spark and Kafka
• Experience with both online and offline processing strategies
• Knowledge of No
SQL database technologies
• Skilled in managing high-velocity data transformations
Join our team and play a vital role in redefining data engineering within the fintech landscape.
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