Join RBC as a Senior Data Engineer and drive innovation in AI-enhanced underwriting. This full time role focuses on building robust data solutions in a dynamic team.
As part of the Global Functions Technology team, you'll develop data pipelines and manage feature extraction for ML initiatives. Collaborate closely with cross-functional teams to ensure data integrity and compliance while applying agile methodologies. Your role is pivotal in implementing reusable pipelines and optimizing quantitative algorithms lifecycle management.
Key Responsibilities:
• Create pipelines for feature extraction and transformation
• Ensure data quality and governance for regulatory compliance
• Partner with data scientists to align feature definitions
• Implement automated MLOps solutions for ML model efficiency
• Conduct data analysis and feature engineering for model training
Requirements:
• Degree in Computer Science, Mathematics, or related field
• 4+ years in application programming and data engineering
• Proficiency in Python, PySpark, and relevant ML frameworks
• Experience with DevOps tools and practices
• Ability to drive innovation and communicate effectively
Lead transformative projects and impact client relations through data engineering excellence at RBC.
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📌 Data Engineer Role in Toronto (Ontario)
🏢 RBC
📍 Ontario