Sr Data QA Engineer

This role can be based anywhere in the Greater Toronto Area, Ontario, Canada.

Are you ready to open a world of opportunity in talent mobility? Our clients include some of the largest and most recognized brands in the world. They’re innovators and leaders in their industries, making life-enhancing breakthroughs every day. We help them tap into those opportunities by placing their exceptional people where they need to be, anywhere in the world. When it comes to service, we set the bar for exceptional … and then we raise it with fresh ideas, leading tools and innovative approaches, and it’s all grounded in our values of truth, love, and integrity. We call it People-first Mobility. We’re looking for exceptional people who share those values along with our passion for delivering the highest levels of service. If that sounds like you, and if you’re ready for a new career opportunity, we’d like to hear from you! Here’s to the world ahead.

As a Senior Data QA Engineer, you will ensure the accuracy and reliability of data across data warehousing, Lakehouse, and reporting platforms. This role involves developing and executing test strategies for data pipelines, transformations, and dashboards while collaborating with cross-functional teams to deliver scalable data solutions.

This role emphasizes collaboration, automation, and scalability, ensuring robust data solutions for business intelligence and reporting needs.

Required Skills

• Thorough understanding and hands on experience with data integration, ETL processes, incremental loads, and transformations in data warehouse.
• Extensive experience performing data validation, comparisons, and quality assurance, ensuring consistency and correctness across staging, transformations, and final data outputs.
• Experience testing reports and dashboards in tools like Power BI for accuracy, consistency, and alignment with business requirements.
• Demonstrated skills developing advanced SQL queries for data validation, testing, and query optimization
• Solid experience implementing automated testing for data pipelines, transformations, and reporting tools using appropriate frameworks
• Ability to manage test data across environments, ensuring timely refresh cycles and proper data configuration
• Familiarity with Agile/Scrum development methodologies
• Strong understanding of software QA methodologies, tools, and processes
• Strong troubleshooting and root cause analysis abilities
• Familiarity with Data Lakehouse, specifically with the Medallion architecture
• Exceptional problem-solving skills and attention to detail
• Excellent communication, collaboration, and time-management skills
• Strong communication skills (oral and written); ability to communicate technical information to non-technical people
• Proficiency in collaborating with Data Engineers, Business Analysts, and stakeholders in Agile environments to align testing with business objectives.
• Experience executing end-to-end data pipelines, identifying and resolving issues while optimizing performance.
• Ensure compliance with data privacy and security regulations in all testing activities.

Required Experience

• 8+ Years of experience in Software QA, with a strong focus on data validation and automation testing
• Strong expertise in ETL testing, data quality frameworks, and advanced SQL is a MUST
• Experience working within a Fact and Dimension architecture is a MUST
• Proficiency in tools like Azure Data Factory, Databricks, Synapse, and experience with scripting in Python or PySpark.
• Familiarity with Data Lakehouse architectures, large datasets, and reporting tools such as Tableau or Power BI.
• Managing data solutions using the Microsoft Fabric analytics platform.
• Thorough understanding and hands on experience with data integration, ETL processes, incremental loads, and transformations in data warehouse
• Experience testing reports and dashboards in tools like Power BI for accuracy, consistency, and alignment with business requirements
• Extensive experience performing data validation, comparisons, and quality assurance, ensuring consistency and correctness across staging, transformations, and final data outputs
• Experience executing end-to-end data pipelines, identifying and resolving issues while optimizing performance. This role emphasizes collaboration, automation, and scalability, ensuring robust data solutions for business intelligence and reporting needs
• Experience in test automation and Agile development methodologies.
• Strong analytical skills and problem-solving abilities.
• Experience working in North America/ with North American based companies strongly preferred.

As a testament to our commitment to diversity, equity, inclusion, and belonging, our salary bands are transparent both internally and as a part of our external recruitment process. The targets for this role are dependent on market/ geographic location and range from $85,000 to $135,000 CAD.

Graebel Companies, Inc. is an EEO/AA Employer M/F/Disabled/Vet