Lead Data Engineer Spark Expertise

Position: Lead Data Engineer with Spark Expertise
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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