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 setting. 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.

📌 Lead Data Engineer at RBC Toronto
🏢 RBC
📍 Toronto