This role involves developing high-performing applications within RBC's Global Functions Technology division. The Senior Data Engineer will be responsible for designing, developing, and deploying capabilities for the Enterprise ESG framework, with a focus on large-scale data processing and analysis. The successful candidate will collaborate with various stakeholders to deliver innovative technology solutions, working in an environment that values a positive attitude, continuous learning, open communication, teamwork, and high-quality, secure code.
Design, develop, and maintain scalable data pipelines and infrastructure to support analytical and operational needs.,Contribute to data pipeline architecture following a micro-service format, ensuring components are deployable to on-premise and Cloud environments.,Collaborate with data scientists, software engineers, and domain experts to understand and meet data requirements.,Ensure data quality, integrity, and reliability throughout the data lifecycle.,Support the integration of analytics and machine learning models into production systems, prioritizing data availability and performance.,Optimize database performance and schema design for large-scale data sets.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
Bachelor's Degree, Master's Degree
37.5 hours/week
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.
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