SDET (ETL Quality Engineer)

Lorven Technologies Inc.; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

Lorven Technologies Inc. is seeking an experienced data and quality engineering professional based in Toronto, ON. The role requires deep expertise in ETL SQL and Playwright automation to design and maintain comprehensive automated testing frameworks. Candidates must have a proven track record of building robust test strategies and CICD-driven validation pipelines for data quality monitoring.

Collaboration with stakeholders is key to defining and implementing data quality standards, along with conducting code reviews and audits. The position involves four days of on-site work weekly, ensuring consistency and effectiveness in data validation processes.

Qualifications

• Proven track record in developing automated testing frameworks.
• Experience with data quality standards and validation pipelines.
• Strong analytical skills and ability to collaborate with stakeholders.

Responsibilities

• Design, build, and maintain automated testing frameworks.
• Optimize CICD pipelines for data validation testing.
• Conduct audits and code reviews for quality standards.

Skills

ETL SQL

Playwright automation

Test framework development

CICD pipelines

Data quality monitoring

Job description

Location: Toronto, ON - 4 days a week on site not negotiable

We are looking for an experienced data and quality engineering professional with deep expertise in ETL SQL and Playwright based automation Proven track record of building robust test frameworks CICD driven validation pipelines and data quality monitoring solutions ensuring reliability and scalability of enterprise data platforms

Design build and maintain comprehensive automated testing frameworks Preferably playwright and analytical monitoring solutions for data pipelines and ETL processes

Build and optimize CICD pipelines for continuous data validation testing and deployment Collaborate with business stakeholders data analysts and platform teams to define implement and enforce data quality standards

Conduct code reviews and automated testing audits to ensure quality standards are met

Document automation frameworks testing strategies analytics methodologies and QE processes for team knowledge sharing.