Data Quality Engineer-Cards Engineering,Transactional Services and Data Services Engineering Job Scarborough area,Ontario Canada,IT/Tech

What You’ll Do

Leads and drives a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems and knowledge.

Understand how the Bank risk appetite and risk culture should be considered in day-to-day activities and decisions.

Lead QA planning and execution across Agile squads, ensuring alignment with sprint goals and release timelines.

Design, develop, and execute data quality validation for ETL pipelines across relational and big data platforms.

Validate source-to-target mappings, transformation logic, and business rules.

Perform SQL-based data analysis and reconciliation using DB2, Hive, and related data stores.

Develop and maintain Python-based data quality frameworks, validation scripts, and automation.

Identify, analyze, and report data quality issues, perform root cause analysis, and collaborate on fixes.

Support IST, UAT & regression testing for data releases.

Create and maintain test plans, test cases, execution evidence, and defect documentation (e.g., JIRA, Confluence).

Ensure compliance with data governance, control, and audit requirements, especially for financial data.

Collaborate with data engineers, business analysts, and stakeholders to clarify data requirements and quality expectations.

Implement sampling and full‑population validation techniques for large datasets, including hash‑based and aggregate reconciliations, CDC verification, and idempotency checks.

Collaborate with external service providers to coordinate code delivery and environment readiness.

Conduct risk-based testing to assess the impact of changes across interconnected systems and platforms.

Drive defect triage and resolution in collaboration with development teams, escalating critical issues and recommending release readiness.

Continuously evaluate and improve QA processes, contributing to the evolution of Quality Engineering practices within the Agile delivery model. This by continuously assessing and improving testing frameworks, tools, and practices to increase test coverage and reduce manual effort.

Maintain deep-domain knowledge of Credit Card and Debit Card systems, their integrations, and business workflows.

What You'll Bring:

Education:

Bachelor’s degree in computer science, Engineering, Information Technology, or a related field. (Preferred) Certifications (Preferred): ISTQB Certified Tester, Certified Agile Tester (CAT), Certified Scrum Master (CSM) or equivalent Agile certification, Automation Tool Certifications (e.g., Selenium, UFT)

Work Experience:

Banking Systems Knowledge:
Advance understanding of functional operation of banking applications and interfaces, including Credit Card and Debit Card systems.

QA Experience

Platforms & Big Data: EDL, HDFS/Hive, distributed processing (Spark)

SQL/ETL: complex pipeline validation across sources/targets

Automation:
Python & PySpark for scalable frameworks

Data Quality: validation, reconciliation, anomaly detection, referential integrity; rules & scorecards

Mainframe/Legacy (nice to have): COBOL/EBCDIC exposure

Ways of working:
Jira/Confluence; CI/CD (Azure Dev Ops/Jenkins);
Agile collaboration

Defect Analysis & Reliability Testing:
Skilled in fault diagnosis, root cause analysis to ensure system reliability and resilience. Proficient in risk-based testing and impact analysis across complex, integrated systems.

Core Competencies

Leadership &

Collaboration:

Proven ability to lead and coordinate cross-functional QA teams, including testers, developers, and project managers, toward shared quality goals.

Strategic Thinking:
Full awareness of current and future initiatives across Domestic Banking and Alternate Delivery Channels, enabling proactive QA planning and risk mitigation.

Agile Delivery Expertise:
Deep understanding of Agile methodologies (Scrum, Kanban) and the ability to adapt quickly to changing priorities and evolving business needs.

Communication & Stakeholder Management:
Strong interpersonal and communication skills to manage diverse stakeholders, resolve conflicts, and align on testing objectives.

Continuous Learning:
Commitment to staying current with emerging QA tools, Agile practices, and financial…

Data Quality Engineer-Cards Engineering, Transactional Services and Data Services Engineering