The role involves working within the Capital Markets Quantitative & Technology Services (QTS) - Data AI and Research Technology (DART) team to test advanced AI solutions for Aiden Banking. The engineer will implement and champion quality engineering best practices, focusing on continuous test preparation and execution with an engineering mindset. This includes reviewing requirements, creating and maintaining end-to-end test automation frameworks using Python, and designing effective automated test frameworks. The role also involves training junior team members, conducting manual testing with an emphasis on automation, developing standardized test procedures, working with Data Bricks, Snowflake, and Azure to test data transformations, identifying and mitigating issues, and collaborating on cross-functional initiatives.
Implement and champion best practices in Quality engineering.,Review requirements and business functions.,Create and maintain end-to-end test automation frameworks on-prem and in cloud using Python.,Design effective automated test frameworks and data-driven execution approach and test design techniques.,Suggest and implement improvements to test automation processes and tooling.,Train and mentor junior members of the team.,Conduct manual testing with emphasis on devising and implementing test automation.,Develop standardized procedures - test strategies and plans, regression, integration, end to end testing, automated test cases.,Work with Data Bricks, Snowflake and Azure, testing data hops through the different stages of transformation.,Continuously identify potential issues, conflicts, and risks.,Analyze, mitigate, and escalate issues.,Collaborate and contribute on cross-functional enterprise initiatives and manage effective implementation of assigned deliverables.
Minimum 2+ years of experience in a QE/ Agile environment with a focus on technical, automated validations leveraging variety of tools/ technologies/ frameworks.,Undergraduate degree in Technology.,Strong Python-coding skills, with focus on Spark/PySpark.,Strong QA or Development background with focus on delivering excellent, well-tested, quality software into production.,Must have implemented and be very familiar with CI/CD pipelines.,Strong communicator with good organizational and time management capabilities.,Deadline-driven and results-oriented; able to meet consistently high-quality standards while handling a variety of tasks and deadlines simultaneously.,Nice-to-have: Post Graduate degree in Data Science.,Nice-to-have: Experience working with Models.,Nice-to-have: Experience developing or testing AI Frameworks.,Nice-to-have: Cloud-related experience.
Undergraduate degree in Technology (Required), Post Graduate degree in Data Science (Nice-to-have)
37.5 hours/week
RBC offers a comprehensive Total Rewards package including competitive base pay, performance bonuses, and flexible benefits like health and dental coverage. Employees also benefit from a defined contribution pension plan, stock ownership programs, wellness resources, and tuition reimbursement.
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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