Sr. Data QA Engineer

GavinHeath; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Sr. Data QA Engineer to join their remote team. In this pivotal role, you will ensure data accuracy and reliability across various platforms, developing and executing test strategies for data pipelines and dashboards. Collaborating with cross-functional teams, you will drive scalable data solutions while mentoring junior engineers. This position offers an exciting opportunity to work with cutting-edge technologies in a supportive environment that values continuous improvement and professional growth. If you have a passion for data quality and automation, this role is perfect for you.

Qualifications

• 5-8 Jahre Erfahrung in Software QA mit Fokus auf Datenvalidierung und Automatisierung.
• Starke Kenntnisse in SQL und ETL-Testverfahren sind erforderlich.

Responsibilities

• Sicherstellen der Einhaltung von Datenschutz- und Sicherheitsvorschriften bei Tests.
• Zusammenarbeit mit Data Engineers und Business Analysts in Agile-Umgebungen.

Skills

SQL

Automated Testing

Data Validation

Problem-Solving

Communication Skills

Agile/Scrum Methodologies

Education

5-8 Years of Software QA Experience

Expertise in ETL Testing

Tools

Azure Data Factory

Databricks

Synapse

Power BI

Tableau

Python

PySpark

Job description

Sr Data QA Engineer

GavinHeath is partnering with a client in Ontario, Canada looking to add a Sr. Data QA Engineer to their team. The role is a Direct Hire position. Candidates must be residents in the Province of Ontario, this role is 100% remote.

As a Sr 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.

Responsibilities:

• Ensure compliance with data privacy and security regulations in all testing activities.
• Collaborate with Data Engineers, Business Analysts, and stakeholders in Agile environments to align testing with business objectives.
• Stay updated with industry trends and suggest process improvements; mentor junior QA engineers as needed.

Qualifications:

• 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.
• 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 nontechnical people.

Education And Experience:

• 5-8 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.
• 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.
• Experience in test automation and Agile development methodologies.
• Strong analytical skills and problem-solving abilities.
• Thorough understanding and hands-on experience with data integration, ETL processes, incremental loads, and transformations in data warehouses.
• 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.

GavinHeath is an equal opportunity employer. GavinHeath will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation and gender identity), national origin, disability, age, creed, ancestry, genetic information, or any other status protected under applicable federal, state, or local laws.