Quality Engineer

Insight Global; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Insight Global is seeking an experienced Quality Engineer to join a leading bank's Enterprise Technology and Data team. You will define QA processes and develop automated tests to ensure platform quality across multi-cloud environments (Azure and GCP).

This role requires hands-on testing in enterprise data environments, expertise with Python automation, data validation, and ETL testing, plus familiarity with Git, CI/CD, and cloud infrastructure.

Qualifications

• 5+ years in software quality engineering in enterprise data environments.
• Experience with Python-based automated testing.
• Hands-on data validation, transformation, and data pipeline testing in Azure and/or Google Cloud Platform (GCP).
• Understanding of data management, warehousing, ETL and data integration.
• Familiarity with Git, CI/CD tools, and cloud infrastructure.

Responsibilities

• Define and implement QA processes across multi-cloud platforms.
• Develop and maintain automated tests and test suites.
• Identify and mitigate risks to data quality and system reliability.
• Collaborate with data engineers and developers to ensure quality of data and platforms.

Skills

QA Engineering

Python automation

Data validation

ETL testing

Cloud testing

Data warehousing

CI/CD

Git

Tools

Git

Jenkins

Azure DevOps

Azure

GCP

Job description

Job Description

Insight Global is seeking an experienced Quality Engineer to join a leading bank as part of their Enterprise Technology and Data team. The successful candidate will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring the overall quality of their technology and data platforms across multi-cloud environments (Azure and Google Cloud Platform).

Skills and Requirements

5+ years experience in software quality engineering, with at least 3 years of experience in an enterprise data environmentProven experience using python for automated testingHands-on experience with data validation, transformation, and data pipeline testing in cloud environments, specifically Azure and/or Google Cloud Platform (GCP)Strong understanding of data management, data warehousing, ETL processes, and data integrationFamiliarity with version control systems (e.g., Git), CI/CD tools (e.g., Jenkins, Azure DevOps), and cloud infrastructure (e.g., Azure, GCP)AI knowledge

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [e-mail].