Lead Data Engineer GFT - Halifax

Royal Bank of Canada • Dartmouth, NS

1d • Onsite

About The Position

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration. Our team is focused on the design, development and deployment of capabilities that enable the end-to-end delivery of the Enterprise ESG framework. Lead Engineer, Climate Solutions is responsible for leading development of applications for large-scale data processing and analysis. You will work with all stakeholders to design best in class technology solutions. We value positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure and well-tested code.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 8+ years of experience combined in programming, small to large-scale applications; 2+ year in team lead or similar capacity with full end-to-end ownership in delivering a project.
• Demonstrated strong team leadership and ability in written and oral communication skills, along with strong presentation skills. Ability to determine the information and communication needs of the stakeholders and 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 database engines, programming experience in writing queries and performance tuning.
• Ability to translate business requirements into technology implementation. Must be self-motivated and be able to work with minimum supervision.

Nice To Haves

• 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.
• Prior experience in the Financial Industry, especially supporting top-of-the-house risk analytic functions (such as Market Risk, Credit Risk or Liquidity Risk), in the design and development of the regulatory frameworks. AI experience also preferred.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure to support various analytical and operational needs.
• Contribute to data pipeline architecture so it follows a micro-service format and the components are deployable to on-premise and Cloud
• 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.
• Support the integration of analytics and machine learning models into production systems, focusing on data availability and performance.
• Optimize database performance and schema design for large-scale data sets.

Benefits

• 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
• Access to a variety of job opportunities across business and geographies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior