A leading bank in the Americas is seeking a Data Quality Engineer in Toronto to ensure system reliability and support banking applications through quality assurance efforts. You will lead QA tasks within Agile squads, design data validation for ETL processes, and collaborate with diverse teams. Preferred qualifications include a degree in computer science and strong experience in SQL and Python automation. You will contribute to a culture of diversity and inclusion, with benefits that start on day one.
Qualifications
Preferred certifications: ISTQB Certified Tester, Certified Agile Tester, or equivalent.
Advanced understanding of banking applications and interfaces, especially Credit Card and Debit Card systems.
Experience in complex pipeline validation across sources and targets.
Responsibilities
Lead QA planning and execution across Agile squads.
Design and develop data quality validation for ETL pipelines.
Perform root cause analysis and report data quality issues.
Collaborate with cross-functional teams to clarify data requirements.
Conduct risk-based testing to assess impacts across systems.
Skills
SQL-based data analysis
Python data quality frameworks
Agile methodologies
Automation testing
Cross-functional collaboration
Education
Bachelor’s degree in computer science or related field
Tools
DB2
Hive
JIRA
Confluence
Job description
A leading bank in the Americas is seeking a Data Quality Engineer in Toronto to ensure system reliability and support banking applications through quality assurance efforts. You will lead QA tasks within Agile squads, design data validation for ETL processes, and collaborate with diverse teams. Preferred qualifications include a degree in computer science and strong experience in SQL and Python automation. You will contribute to a culture of diversity and inclusion, with benefits that start on day one.