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Added 2 mins ago
W
Associate Technical Consultant
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- Full-time
The Principal Process Automation & Controls Engineer is responsible for providing control system engineering support for industrial facilities and projects. The role requires an…
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- Full-time
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Senior Firmware Engineer
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Chief engineer - water transport
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- $22 to $35 CAD / hour
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Senior Yocto Developer Toronto
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Maintenance Technician I - UniFirst Canada
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Scotiabank

Senior Quality Engineer

Toronto, ON, M2H 0A1, Canada

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Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 7, 2026

Original job description

Requisition ID: 275896

At Tangerine, we’re redefining banking. As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of collaboration.

Our client-obsessed teams deliver flexible, accessible banking solutions, breakthrough products, and award-winning service. Beyond banking, we’re committed to making an impact in the communities we serve and across our organization. We foster a culture built on integrity, inclusion, and fearless ambition – where diverse perspectives are valued, and people are empowered to do their best work.

Are you ready to disrupt the status quo? Do you crave challenges that push boundaries? If you’re a high performer looking to accelerate your career and reimagine the banking landscape, this is your moment.

Let’s shape the future of banking together!

Do you like new challenges? Are you ready to reach new heights in your career and become part of an established disruptor? If so, come join us and help redefine the Canadian banking landscape!

We are looking for a Senior Quality Engineer to join our Quality Engineering team. This person will be responsible for ETL testing, data validation, source-to-target reconciliation, data transformation testing, and end-to-end validation of data pipelines in Data Warehouse environments.

Is this role right for you? In this role, you will:

Collaborate with developers, business analysts, data engineers, and other stakeholders to identify, troubleshoot, and resolve data quality issues.
Participate in requirements reviews, source-to-target mapping sessions, and design discussions to ensure testability, completeness, and data quality.
Analyze source-to-target mappings, define test strategies, create comprehensive test cases, and perform rigorous data validation.
Validate data accuracy, completeness, and integrity through source-to-target reconciliation and transformation testing.
Execute complex SQL queries, perform backend testing, and validate ETL transformations across Oracle, SQL Server, and BigQuery platforms.
Validate end-to-end ETL workflows, data pipelines, and data movement across source, staging, and target environments.
Work with multiple source systems containing structured, semi-structured, and JSON data.
Develop and maintain automated data validation, reconciliation, and regression tests using Python, SQL, and other automation utilities.
Support continuous improvement of ETL testing processes through automation and reusable testing frameworks.
Own test planning, test execution, defect management, regression validation, test reporting, and testing sign-off for assigned EDW initiatives.
Collaborate with project teams to support release readiness activities and ensure delivery quality.
Maintain test cases, test results, defect logs, and other QA artifacts in Jira, Confluence, and related project repositories.

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

5+ years of hands-on experience in ETL testing, data validation, source-to-target reconciliation, data transformation testing, and end-to-end validation of data pipelines in Data Warehouse environments.
Strong experience with SQL, backend testing, ETL validation, and complex BigQuery queries for data validation, reconciliation, and troubleshooting.
Strong understanding of Data Warehousing concepts, ETL processes, data modeling, and data quality principles.
Hands-on experience with Oracle, SQL Server, BigQuery, Informatica PowerCenter, Airflow/Cloud Composer, and GCP data services.
Experience validating data across source, staging, and target systems, including structured, semi-structured, and JSON data.
Experience developing and maintaining ETL test automation solutions using Python, SQL, or similar technologies for automated data validation, reconciliation, and regression testing.
Proven ability to own test planning, test execution, regression validation, defect management, and testing sign-off activities for EDW initiatives.

Technology Stack

Cloud & Data Platform

Google Cloud Platform (GCP): BigQuery, Cloud Composer

ETL & Data Integration

Informatica PowerCenter

Databases

Oracle, SQL Server

Testing & Automation

SQL, Python, ETL Test Automation

Tools

Jira, Confluence

Nice to Have

Git / GitHub, CI/CD Tools, Adobe Platforms, ISTQB certificate.

What's in it for you?

You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

*Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

Location(s): Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

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More about this job

Responsibilities

The Senior Quality Engineer will be responsible for end-to-end validation of data pipelines, including ETL testing, data reconciliation, and transformation testing. They will collaborate with cross-functional teams to troubleshoot data quality issues and maintain automated testing frameworks.

Requirements

Candidates must have 5+ years of hands-on experience in ETL testing and data validation within Data Warehouse environments. Proficiency in SQL, Python, and experience with platforms like BigQuery, Oracle, and Informatica is required.

Skills

ETL testing
Data validation
SQL
Python
BigQuery
Oracle
SQL Server
Informatica PowerCenter
Data warehousing
Data modeling
Test automation
Jira
Confluence
Cloud Composer
Airflow

Benefits

Pension program
Health benefits
Workspace flexibility
Professional development courses

Visa sponsorship

Not detected in the job text

Keywords

ETL Testing
Data Validation
Data Warehouse
SQL
Python
BigQuery
Oracle
SQL Server
Informatica PowerCenter
Airflow
Cloud Composer
GCP
Data Pipelines
Test Automation
Jira
Confluence
Regression Testing
Defect Management
Data Modeling
JSON
Structured data
Semi-structured data
CI/CD
Git
GitHub
ISTQB
Banking
Data Quality
Backend testing

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