Advance your career at RBC as a Senior Data Engineer in Toronto, optimizing AI solutions and enhancing data governance structures. Bring your cloud expertise to a team-oriented team.In this role within the Global Functions Technology division, focus on developing high-quality data pipelines to support innovative ML operationalization. You will play a key role in standardizing processes while driving technical innovation in cloud environments. Your problem-solving skills will help create scalable solutions that enhance marketing and client relationship capabilities.Key Responsibilities:
- Develop and manage data feature stores for high-quality insights
- Design scalable pipelines for effective data storage solutions
- Collaborate with data scientists to ensure consistent feature definitions




- Implement MLOps practices for efficient ML lifecycle management
- Analyze and preprocess data to prepare for model trainingRequirements:
- Bachelor’s or Master’s degree in technical field
- Minimum of 4 years in software and application development
- High-level skills in Python and data engineering frameworks
- Strong knowledge of CI/CD and DevOps practices
- Excellent collaboration and communication abilitiesBecome an integral part of RBC’s mission to transform financial solutions through data engineering and analytics.#J-18808-Ljbffr

📌 Rbc Senior Data Engineering Specialist (Toronto)
🏢 RBC
📍 Toronto