Job Summary

Lead multiple development projects. The Big Data QA Technical SME will be responsible for leading the quality assurance efforts for our Big Data initiatives. This is a hands on role, the role involves designing, developing, and implementing automated testing frameworks to ensure the reliability, performance, and scalability of our data processing systems. The ideal candidate will have a strong background in Big Data technologies, automation tools, and a proven track record of leading QA teams.

Job Description

WHAT IS THE OPPORTUNITY?

The Finance IT QE team is undertaking multiple complex FIAT initiatives as part of RBC’s ongoing plan to improve technology management and architectural governance across the organization. Lead multiple development projects. The Big Data QE Technical SME will be responsible for leading the quality assurance efforts for our Big Data initiatives. This is a hands on role, the role involves designing, developing, and implementing automated testing frameworks to ensure the reliability, performance, and scalability of our data processing systems. The ideal candidate will have a strong background in Big Data technologies, automation tools, and a proven track record of leading QA teams.

WHAT WILL YOU DO?

Lead QE Strategy: Develop and implement a comprehensive Test strategy for Big Data projects, ensuring alignment with business goals and technical requirements.

Automation Framework Development: Design and build robust automated testing frameworks for Big Data applications using tools such as Python, PySpark, and Selenium.

Test Planning and Execution: Oversee the creation and execution of detailed test plans, test cases, and test scripts to validate data processing pipelines, ETL processes, and data integrity.

Performance Testing: Conduct performance and scalability testing to ensure the Big Data systems can handle large volumes of data efficiently.

Collaboration: Work closely with data engineers, data scientists, and product managers to understand requirements, identify test scenarios, and ensure comprehensive test coverage.

Defect Management: Identify, document, and track defects using tools like JIRA, and work with development teams to ensure timely resolution.

Continuous Improvement: Continuously improve QA processes, tools, and methodologies to enhance the efficiency and effectiveness of the QA team.

Mentorship: Mentor and guide junior QA engineers, fostering a culture of quality and continuous learning within the team.

WHAT DO YOU NEED TO SUCCEED?

 Must have:

Minimum 7 years of Automation Development experience, Minimum of 7 years of experience in QA/QE experience, with at least 3-4 years in a lead role focusing on Big Data projects.

Advanced knowledge of the following DevOps practices and technologies
Big Data frameworks, Roboto Framework, Python, PySpark, Spark, Scala, Shell scripting, JAVA
SQL, Hadoop, Hive, Jenkins, Helios, Azure, Linux, Github

Demonstrated 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.

Understanding of technology and/or financial services industry.

Nice-to-have:  

Experience in Dynatrace, Prometheus, PagerDuty, Moog, Splunk, Elastic, Azure monitor, Grafana
MQ, Kafka

Strategic thinker with excellent interpersonal skills to work across functions and businesses

Relevant certifications in Big Data, QA, or automation tools (e.g., Cloudera Certified Professional, ISTQB, AWS Certified Big Data).

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

WHAT's IN 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

A world-class training program in financial services

Flexible work/life balance options

Opportunities to do challenging work

#LI-HYBRID

#LI-POST

Job Skills

Automation Tools, Critical Thinking, Decision Making, Detail-Oriented, DevOps, IT Quality Assurance, Long Term Planning, Process Management, Risk Management, Software Product Testing, Test Automation

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-02-25

Application Deadline:

2025-03-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.
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We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.