We are seeking a highly analytical and detail-oriented QA Engineer for an exciting hybrid contract opportunity based in Vancouver. In this role, you will specialize in validating data and analytics solutions, ensuring the highest standards of data quality, completeness, and consistency across enterprise data platforms.
...
As a core member of the data team, you will design and execute rigorous test plans that validate end-to-end data pipelines from initial ingestion through transformation to final reporting. This role requires a deep technical understanding of modern cloud data warehouses, ETL processes, and real-time streaming architectures to ensure production readiness for critical data releases.
Location: Vancouver, BC (Hybrid - 4 days/week in-office)
Contract Duration: 6 months (with a high likelihood of extension)
Advantages
Strong Extension Potential: Secure a solid 6-month foundation on a critical data initiative with a very high likelihood of contract extension.
Modern Cloud Data Stack: Gain hands-on validation experience with cutting-edge data tools including Snowflake, Azure Data Factory, Cortex, and Streamlit.
Complex Data Architecture: Expand your expertise by testing high-throughput, real-time data streams (Kafka) and complex multi-source integrations.
Collaborative Environment: Work within a fast-paced Agile framework alongside talented data engineers and platform architects.
Responsibilities
Test Strategy & Design: Design, develop, and execute comprehensive test plans tailored specifically for data, analytics solutions, and data platform initiatives.
Pipeline Validation: Validate end-to-end data pipelines across all lifecycle stages including data ingestion, transformation, and ultimate reporting layers.
Core QA Testing: Perform thorough functional, regression, and rigorous data validation testing to confirm data accuracy and system stability.
Defect Management: Identify, document, track, and validate the resolution of defects utilizing structured QA methodologies.
Platform Sign-Off: Review data deliverables and provide formal QA sign-off for Snowflake and broader data platform releases to ensure production readiness.
Cross-Functional Collaboration: Partner closely with data engineers, business analysts, and analytics teams to root out data inconsistencies and ensure overall deliverable quality.
Release Management Support: Actively support scheduled release cycles, verifying the integrity of reporting outputs and downstream analytics.
Qualifications
Technical Requirements
Cloud Data Platforms: Proven experience working extensively with Snowflake data environments.
ETL & Data Pipelines: Strong background in data pipeline validation and ETL testing, particularly within Azure Data Factory (ADF).
Data Streaming & Integrations: Familiarity with Kafka for real-time data streams and experience validating data across multiple interconnected sources.
Advanced Querying: Exceptional SQL skills for writing complex queries, data profiling, and deep-dive data reconciliation.
Specialized Tooling: Exposure to or familiarity with Cortex, Streamlit, and Salesforce Service Cloud (SFSC) is highly advantageous.
Professional Experience
Data QA Domain: Demonstrated experience in quality assurance and testing explicitly focused on data platforms, data warehouses, or analytics solutions.
Methodologies: Deep understanding of data validation techniques, regression testing, and data integrity methodologies (checking for accuracy, completeness, and consistency).
Agile Frameworks: Experience operating smoothly within fast-paced, iterative Agile development environments.
Soft Skills: Outstanding attention to detail, highly developed analytical troubleshooting skills, and the ability to collaborate fluidly with engineering teams.
Summary
If you're interested in the QA Engineer role based in Vancouver, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
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 highly analytical and detail-oriented QA Engineer for an exciting hybrid contract opportunity based in Vancouver. In this role, you will specialize in validating data and analytics solutions, ensuring the highest standards of data quality, completeness, and consistency across enterprise data platforms.
As a core member of the data team, you will design and execute rigorous test plans that validate end-to-end data pipelines from initial ingestion through transformation to final reporting. This role requires a deep technical understanding of modern cloud data warehouses, ETL processes, and real-time streaming architectures to ensure production readiness for critical data releases.
Location: Vancouver, BC (Hybrid - 4 days/week in-office)
Contract Duration: 6 months (with a high likelihood of extension)
Advantages
Strong Extension Potential: Secure a solid 6-month foundation on a critical data initiative with a very high likelihood of contract extension.
Modern Cloud Data Stack: Gain hands-on validation experience with cutting-edge data tools including Snowflake, Azure Data Factory, Cortex, and Streamlit.
...
Complex Data Architecture: Expand your expertise by testing high-throughput, real-time data streams (Kafka) and complex multi-source integrations.
Collaborative Environment: Work within a fast-paced Agile framework alongside talented data engineers and platform architects.
Responsibilities
Test Strategy & Design: Design, develop, and execute comprehensive test plans tailored specifically for data, analytics solutions, and data platform initiatives.
Pipeline Validation: Validate end-to-end data pipelines across all lifecycle stages including data ingestion, transformation, and ultimate reporting layers.
Core QA Testing: Perform thorough functional, regression, and rigorous data validation testing to confirm data accuracy and system stability.
Defect Management: Identify, document, track, and validate the resolution of defects utilizing structured QA methodologies.
Platform Sign-Off: Review data deliverables and provide formal QA sign-off for Snowflake and broader data platform releases to ensure production readiness.
Cross-Functional Collaboration: Partner closely with data engineers, business analysts, and analytics teams to root out data inconsistencies and ensure overall deliverable quality.
Release Management Support: Actively support scheduled release cycles, verifying the integrity of reporting outputs and downstream analytics.
Qualifications
Technical Requirements
Cloud Data Platforms: Proven experience working extensively with Snowflake data environments.
ETL & Data Pipelines: Strong background in data pipeline validation and ETL testing, particularly within Azure Data Factory (ADF).
Data Streaming & Integrations: Familiarity with Kafka for real-time data streams and experience validating data across multiple interconnected sources.
Advanced Querying: Exceptional SQL skills for writing complex queries, data profiling, and deep-dive data reconciliation.
Specialized Tooling: Exposure to or familiarity with Cortex, Streamlit, and Salesforce Service Cloud (SFSC) is highly advantageous.
Professional Experience
Data QA Domain: Demonstrated experience in quality assurance and testing explicitly focused on data platforms, data warehouses, or analytics solutions.
Methodologies: Deep understanding of data validation techniques, regression testing, and data integrity methodologies (checking for accuracy, completeness, and consistency).
Agile Frameworks: Experience operating smoothly within fast-paced, iterative Agile development environments.
Soft Skills: Outstanding attention to detail, highly developed analytical troubleshooting skills, and the ability to collaborate fluidly with engineering teams.
Summary
If you're interested in the QA Engineer role based in Vancouver, we encourage you to apply online at www.randstad.ca.
Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!
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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