Senior Data Engineer

RBC•Toronto, ON

13d•Onsite

About The Position

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Requirements

Big Data Management
Cloud Computing
Database Development
Data Mining
Data Warehousing (DW)
ETL Processing
Group Problem Solving
Quality Management
Requirements Analysis

Responsibilities

Leads data engineering tasks or projects requiring advanced problem solving and decision making, navigating ambiguity
Drive strategic QE initiatives and implement automation standards and processes
Develops, tests, and deploys complex data and software architectures to generate reusable data assets, enabling advanced analytics and reporting capabilities
Lead initiatives and create and execute test cases and test scripts based on business requirements and user stories
Leads the creation and maintenance of data architectures, integrating data from multiple environments and ensuring accessibility for analysts and data scientists
Maximize automation coverage for all functional testing deliverables
Collaborates with business and technology teams to design and implement data solutions, ensuring alignment with organizational strategies and compliance standards
Work independently to plan, prioritize and execute assigned tasks
Drives decisions on issues requiring innovative thinking and technical expertise and providing recommendations that influence own team and across other work areas
Independently resolves data engineering related problems by identifying areas for improvement and implementing solutions that enhance efficiency within scope of responsibility
Collaborate with Business analysts, Developers, Project Managers and Product owners to understand business requirements, design changes and test scope
Actively participate in scrums/team meetings, technical walkthroughs and business reviews
Maintains and enhances relationships with internal teams and external contacts to deliver measurable business outcomes
Provides strategic guidance on emerging technologies and best practices, contributing to the continuous improvement of data engineering processes and tools
Suggest improvements to testing processes and practices
Be able to enhance their own skills and build knowledge in all aspects of the organization