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Job Description & How to Apply Below
This Senior Data Engineer position is located in Toronto, collaborating with the Platform Engineering Team. You will design data pipelines, enhancing fraud detection and optimizing data storage solutions. Key skills include proficiency in languages like Spark and Python, along with problem-solving abilities to address data issues effectively.
Key Responsibilities:
• Create reusable experimental and production data pipelines
• Enhance daily operations by diving deep into frameworks
• Diagnose and resolve root causes of data issues
• Ensure data integrity and secure efficient data flow
• Optimize data structures for storage and transit
Requirements:
• Degree in Computer Science or Engineering
• Proficient in Spark, Scala, Python, or Java
• Experience with Spark Streaming and Kafka
• Handle over 10^6 events per minute
• Knowledge of No
SQL databases
Utilize your expertise in data engineering to transform fintech data solutions effectively.
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Position Requirements
10+ Years
work experience
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