Elevate your career as a Lead Data Engineer at RBC in Toronto, Canada. Focus on developing data pipelines and feature stores for AI-enhanced underwriting in a collaborative workplace.
Join the Global Functions Technology (GFT) team at RBC, where you'll be at the forefront of transformative IT solutions. With over eight years of hands-on experience in programming and full-stack development, you'll lead initiatives that enhance machine learning models and optimize data governance. Your expertise in Python, PySpark, and DevOps practices will be essential for success.
Key Responsibilities:
• Develop features with integrated data quality for high-quality ML insights
• Implement scalable data pipelines using cloud solutions
• Ensure data consistency and lineage for regulatory compliance
• Standardize feature definitions with data scientists
• Optimize ML lifecycle management through reusable pipelines
Requirements:
• Bachelor’s or Master’s degree in a related field
• 8+ years in programming and application development
• Expertise in Python, PySpark, and data frameworks
• Strong skills in DevOps and CI/CD practices
• Excellent collaboration and problem-solving abilities
Embrace your potential to drive innovation and lead significant projects at RBC.
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📌 Lead Data Engineer at RBC Toronto (Ontario)
🏢 RBC
📍 Ontario