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QA Engineer(Pega CDH)

Canada 4 days ago

Job Description

Requisition ID: Join a purpose driven winning team, committed to results, in an inclusive and high:performing culture. Large:scale enterprise:wide project to accelerate personalization capabilities across our stack (targeted propensity:driven lists, marketing journey and sales conversion funnels). This role will be sitting within the Engineering function of the Pega CDH MarTech Application team helping identify business needs and translating them into revenue:driving decisioning implementations within Pega CDH. Is this role right for you? In this role, you will: - Design, develop, and maintain automated test scripts for APIs, decisioning flows, and campaign logic. - Support regression and integration testing across Pega CDH and other MarTech platforms. - Collaborate with wider QA team to translate test cases into automated suites. - Participate in CI/CD pipeline integration and test execution monitoring. - Troubleshoot test failures and contribute to root cause analysis. - Validate data flows, segmentation logic, and real:time personalization triggers. - Contribute to performance and load testing initiatives for campaign and decisioning services. - Contribute to QA documentation, reporting, and continuous improvement initiatives - Maintains system protocols by writing and updating procedures. - You will be directing day:to:day activities in a manner consistent with our risk culture and the relevant risk appetite statement and limits and communicate it throughout the team - You will create an environment in which your team pursues effective and efficient operations of their respective areas while ensuring the adequacy, adherence to and effectiveness of day:to:day business controls to meet obligations with respect to risk and compliance Do you have the skills that will enable you to succeed in this role? Wed love to work with you if you have: - 5+ years of experience in QA or test automation roles, ideally within a MarTech or digital engagement environment. - Proficiency in test automation frameworks (e.g., Selenium, REST Assured, Cypress, or similar). - Experience testing APIs, data flows, and decisioning logic in platforms like Pega CDH (experience with AJO, SFMC, or similar platforms would be awesome). - Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) and version control systems. - Strong scripting skills in JavaScript, Python, or Java (nice to have). - Understanding of marketing data structures, customer segmentation, and personalization logic. - Experience with SQL or data validation tools is a plus (nice to have). - Exposure to performance testing tools (e.g., JMeter, Gatling) would be great (nice to have). - Familiarity with tools like JIRA, TestRail, or similar test management platforms. - Experience working in financial services or other regulated industries is a bonus (nice to have). - Strong understanding of customer lifecycle marketing, campaign orchestration, and omnichannel personalization. - Experience working with cross:functional teams including marketing, data science, compliance, and IT. - Familiarity with data privacy regulations (e.g., PIPEDA, GDPR) and ethical AI practices. - Experience with Adobe's MarTech offering including AJO, Adobe RT:CDP, and Salesforce Marketing Cloud (nice to have) Whats in it for you? - Diversity, Equity, Inclusion and Allyship : We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias:free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow and participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race,

QA Engineer(Pega CDH)

Canada 4 days ago
Requisition ID: Join a purpose driven winning team, committed to results, in an inclusive and high:performing culture. Large:scale enterprise:wide project to accelerate personalization capabilities across our stack (targeted propensity:driven lists,...