Step into a pivotal role at RBC as a Senior Data Engineer, where you will design and implement data architectures that drive analytics and decision-making. Contribute to key organizational projects.
As part of the Metadata Engineering team in Global Functions Technology, you will bring 3-5 years of data engineering experience to develop and deploy innovative data solutions. Your strong command of Python and SQL will help you build effective data pipelines while maintaining stringent security and quality standards. Collaborating with multiple teams will allow you to align your work with organizational goals.
Key Responsibilities:
• Architect and deploy advanced data solutions
• Construct and manage data pipelines ensuring quality
• Facilitate DevOps practices for data stability




• Create monitoring systems for proactive issue alerting
• Perform peer reviews focusing on secure coding practices
Requirements:
• 3-5 years in data engineering with proven expertise
• Solid proficiency in Python and SQL
• Extensive experience with CI/CD and automation practices
• Security awareness in data and coding practices
• Familiarity with testing frameworks for code quality
Utilize your data engineering expertise to make impactful enhancements at RBC in an innovative environment.
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📌 RBC Senior Data Engineer Role (Toronto)
🏢 RBC
📍 Toronto