Development Lead, GFT

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications [add in a description of your teams projects or tech stacks]? Come join us!

Global Functions Technology (GFT) is part of RBCs Technology and Operations division. GFTs 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.

We believe that innovation should drive all that we do, in challenging assumptions and being big and bold with our ideas. We support our people in developing the technical, business, and professional skills needed to be successful. You will work with partners from across the company, participate in networking events, and have access to a wide variety of supports including mentorship. You will work directly with leaders who believe in celebrating successes and sharing learnings with other teams to promote progress.

The RBC Team in Toronto is be hiring for multiple Engineer roles on the AML IT Toronto team. This role will require you to be located in the Toronto/GTA region and be able to commute to the office as you will be required to work at least 3 days per week in the office, as indicated by your manager. As a Senior Quality Engineer Automation Analyst you to provide support for a suite of business mission-critical and complex applications, understanding both the front and back-end of the applications and will be doing hands-on testing on various projects. The technology platform spans the breadth of Windows and Linux platforms, Python / Java environments, and MS SQL and Oracle platforms

What is the opportunity?

Financial Crime Technologies with Global Functions Technology (GFT) is looking for talented and passionate technologists to join our team. With a developer mind-set you will work as part of an agile team to deliver high performing applications built on cloud platforms with streaming technologies. We believe in continuous growth and expanding your capabilities. Join our team today and have a big impact influencing the strength of our advanced insight and analytics. This team is involved in several project scopes, so there are a variety of projects to get involved in!

What will you do?

• Lead a group of developers building data pipelines using Big data Technologies for batch as well as real time streaming patterns for ingesting in the data lake platform
• Manage existing ETL processes to support on premise clients and build the next generation ETL processes in Cloud.
• Drive the Data Virtualization initiative and identify new and emerging solutions to build data access layers for Data Lake clients
• Execute in a creative & collaborative environment driven by agile methodologies with focus on CI/CD, Application Resiliency Standards
• Experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the team
• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in around data ingestion & transformation on-prem and in cloud
• Collaborate with product owners, business stakeholders to understand requirements, prioritize tasks and work with the scrum master/development team to meet program timelines
• Mentor team on technical aspects, participate in design/code reviews to ensure code is designed well, elegantly coded, and effectively tuned for performance

What do you need to succeed?

Must-have

• Minimum 10-12 years professional software development experience delivering highly scalable, high performance applications with core skillsets in Data Architecture, ETL implementation both on-premise and in cloud
• Excellent communication skills both written and oral along with good presentation skills.
• Strong leadership skills managing a team of developers focused on data pipelines, providing oversight on implementation, performing code reviews, and managing Production rollouts
• Working experience using big data technologies (Spark, Databricks) on medium to large scale datasets.
• Bachelors degree in computer science or equivalent
• Experienced running applications in cloud-based platforms.
• Knowledge of DevOps concepts and tools (git, GitHub Actions, Sonar, etc).
• Knowledge of best practices, architectural patterns in Big Data ecosystem.
• Knowledge and experience in non-functional requirements like Security and Performance.

Nice-to-have

• Big Data Technology Certifications in Data Engineering space
• Experience in financial industry or AML
• Knowledge of databases (SQL or NoSQL) and knowledge of data storage, transformation and manipulation.
• Building and working with rest apis using Java or python

Whats in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• 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
• Opportunities to take on progressively greater accountabilities

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Job Skills

Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC)

Additional Job Details

VANCOUVER MAIN BRANCH, 1025 GEORGIA ST W:VANCOUVERVANCOUVERCanada37.5Full timeTECHNOLOGY AND OPERATIONSRegularSalaried2024-09-182024-09-27