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Halifax, Nova Scotia, Canada Royal Bank of Canada Full timeJob DescriptionWe are seeking a talented and experienced Lead Data Engineer to join our team at the Royal Bank of Canada. As a key member of our Technology and Operations division, you will play a crucial role in designing and developing a cutting-edge data platform that supports our climate goals.What is the Opportunity?As a Lead Data Engineer, you will be...
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Halifax, Nova Scotia, Canada Royal Bank of Canada Full timeJob DescriptionWe are seeking a highly skilled Lead Data Engineer to join our team at Royal Bank of Canada. As a key member of our Technology and Operations division, you will play a crucial role in designing and developing a cutting-edge data platform that supports our climate goals.What is the Opportunity?As a Lead Data Engineer, you will be responsible...
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Halifax, Nova Scotia, Canada Royal Bank of Canada Full timeJob DescriptionWe are seeking a highly skilled Lead Data Engineer to join our team at Royal Bank of Canada. As a key member of our Technology and Operations division, you will play a crucial role in designing and developing a cutting-edge data platform that supports our climate goals.What is the Opportunity?As a Lead Data Engineer, you will be responsible...
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DevOps Engineer
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Lead Data Engineer
2 months ago
We are seeking a highly skilled Lead Data Engineer to join our Climate Solutions team at the Royal Bank of Canada. As a key member of our team, you will be responsible for designing and developing scalable data pipelines and infrastructure to support various analytical and operational needs.
Key Responsibilities- Design, develop, and maintain large-scale data processing and analysis applications.
- Collaborate closely with stakeholders, including data scientists, software engineers, and domain experts, to understand data requirements and deliver robust solutions.
- Ensure data quality, integrity, and reliability throughout the data lifecycle.
- Optimize database performance and schema design for large-scale data sets.
- Support the integration of analytics and machine learning models into production systems, focusing on data availability and performance.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
- 6+ years of experience combined in programming, small to large-scale applications; 1+ year in team lead or similar capacity with full end-to-end ownership in delivering a project.
- Expert in multiple programming languages / frameworks such as Hadoop, Apache Spark, Python, Scala, Hive.
- Exposure to DevOps practices and tools for CI/CD pipelines.
- Excellent problem-solving and analytical skills, with the ability to work in a collaborative team environment.
- Experience with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of data governance and security practices.
- Frontend and backend engineering, test driven development, microservices and architecture design principles.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
- Leaders who support your development through coaching and managing opportunities.
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high-performing team.
- A world-class training program in financial services.
- Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.