We are seeking a Senior Data Quality Analyst for an 11-month contract on behalf of our client.
The ideal candidate will be based in Montreal, QC, working in a hybrid model with two days per week in the office. If the candidate is based in Toronto, occasional travel to Montreal twice a year will be necessary.
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The contract is renewable for up to 2 years and may convert to a permanent position.
The ideal analyst will be responsible for translating functional and technical specifications into test requirements and generating metrics to demonstrate data quality and the effectiveness of ingestion pipelines.
This role requires experience in data quality assurance and the ability to work autonomously in an Agile environment. Bilingualism in French and English is preferred but not mandatory.
Advantages
Potential conversion to a permanent position.
11-month contract, extendable up to 2 years.
Work on innovative projects within the insurance sector.
Dynamic and collaborative work environment.
Continuous professional development with advanced technologies.
Collaboration with development and product management teams.
Responsibilities
Produce metrics to evaluate data quality and the effectiveness of ingestion pipelines.
Participate in Agile ceremonies to report test progress and issues.
Work with the Product Owner and development team to prioritize test stories.
Design and develop automated and manual test cases for various ingestion pipelines.
Mentor team members to improve testing practices, reduce production delivery time, and increase code quality and unit test coverage.
Manage, coordinate, and execute comprehensive testing activities for projects.
Translate functional and technical specifications into test requirements.
Attend Agile ceremonies to share the QA schedule.
Qualifications
Deep understanding of Agile practices and development best practices.
In-depth knowledge of CI/CD pipelines.
Expertise in data warehouses (Data Vault, Snowflake).
Proficiency in PL/SQL for querying, integrating, modeling, and mapping data.
Experience in the insurance sector.
Competence in test automation and development tools.
A minimum of 5 years of experience in data quality assurance and test automation.
Bachelor's degree in Engineering, Architecture, Computer Science, or equivalent.
Summary
We are looking for a Senior Data Quality Analyst for an 11-month contract on behalf of our client. The contract is renewable for up to 2 years and may convert to a permanent position. The ideal analyst will be responsible for translating functional and technical specifications into test requirements and generating metrics to demonstrate data quality and the effectiveness of ingestion pipelines.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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We are seeking a Senior Data Quality Analyst for an 11-month contract on behalf of our client.
The ideal candidate will be based in Montreal, QC, working in a hybrid model with two days per week in the office. If the candidate is based in Toronto, occasional travel to Montreal twice a year will be necessary.
The contract is renewable for up to 2 years and may convert to a permanent position.
The ideal analyst will be responsible for translating functional and technical specifications into test requirements and generating metrics to demonstrate data quality and the effectiveness of ingestion pipelines.
This role requires experience in data quality assurance and the ability to work autonomously in an Agile environment. Bilingualism in French and English is preferred but not mandatory.
Advantages
Potential conversion to a permanent position.
11-month contract, extendable up to 2 years.
Work on innovative projects within the insurance sector.
Dynamic and collaborative work environment.
Continuous professional development with advanced technologies.
Collaboration with development and product management teams.
Responsibilities
...
Produce metrics to evaluate data quality and the effectiveness of ingestion pipelines.
Participate in Agile ceremonies to report test progress and issues.
Work with the Product Owner and development team to prioritize test stories.
Design and develop automated and manual test cases for various ingestion pipelines.
Mentor team members to improve testing practices, reduce production delivery time, and increase code quality and unit test coverage.
Manage, coordinate, and execute comprehensive testing activities for projects.
Translate functional and technical specifications into test requirements.
Attend Agile ceremonies to share the QA schedule.
Qualifications
Deep understanding of Agile practices and development best practices.
In-depth knowledge of CI/CD pipelines.
Expertise in data warehouses (Data Vault, Snowflake).
Proficiency in PL/SQL for querying, integrating, modeling, and mapping data.
Experience in the insurance sector.
Competence in test automation and development tools.
A minimum of 5 years of experience in data quality assurance and test automation.
Bachelor's degree in Engineering, Architecture, Computer Science, or equivalent.
Summary
We are looking for a Senior Data Quality Analyst for an 11-month contract on behalf of our client. The contract is renewable for up to 2 years and may convert to a permanent position. The ideal analyst will be responsible for translating functional and technical specifications into test requirements and generating metrics to demonstrate data quality and the effectiveness of ingestion pipelines.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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