Hybrid QA Developer – Analytics

at Tantalus Systems

• Job title: QA Developer – Analytics
• Job type: Full Time
• Experience level: Junior, Mid level
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: ETL, IoT, Jenkins, JMeter, JUnit, Linux, Oracle, Perl, Python, SDLC, Selenium, SQL, Tableau
• Location requirements: Hybrid, Burnaby, Canada

About the role

• QA Developer developing automated tests for Industrial IoT applications at Tantalus. Collaborating with product teams to enhance software quality and performance validation.

Responsibilities

• Contribute to both manual and automated testing of distributed Industrial IoT applications.
• Design, develop, and execute comprehensive test cases for data warehouse operations and ETL processes ensuring comprehensive test coverage.
• Validate data integrity, accuracy, and completeness across ETL pipelines.
• Perform data quality checks and reconciliation testing between source systems and the data warehouse.
• Create and manage test data to support various testing scenarios.
• Collaborate with developers to review application functionality and define effective test strategies and scenarios.
• Coordinate manual and automated testing efforts to ensure efficient product validation before release.
• Develop and maintain automated test cases integrated into the CI/CD pipeline for continuous testing.
• Conduct manual and automated testing of Tableau dashboards and applications hosted on Tableau Server.
• Test UI features, data accuracy, visualizations, filters, parameters, and calculated fields.
• Validate dashboard performance, load times, and user experience across different datasets.
• Design automated regression testing for data warehouse schema changes, ETL processes, and Tableau dashboards.
• Contribute to the development and maintenance of a fully automated verification environment.
• Use data visualization and statistical tools to analyze network performance and identify system issues.
• Apply software quality assurance best practices throughout all phases of the SDLC to drive continuous process improvements including leveraging AI-powered test tools to design, develop, and maintain intelligent, self-healing, and adaptive automated test suites.
• Research and evaluate new testing tools and methodologies to enhance ongoing quality improvements.

Requirements

• Bachelor's degree in Electrical Engineering, Computer Science, or a software related field
• 2+ years of QA/testing experience within the technology industry
• Good understanding of test automation frameworks, including test execution, reporting, and debugging.
• Skilled in troubleshooting complex issues related to automation, builds, and infrastructure.
• Strong experience with Python, Perl, Linux (e.g., Ubuntu or RedHat), and Bash scripting.
• Familiar with the Agile process and the software development lifecycle (SDLC).
• Hands-on experience with: - Jira, Confluence, and CI/CD tools such as Jenkins, GitLab CI, or CircleCI
• - Test tools such as Selenium, JMeter, JTest, TestNG, or JUnit
• - Oracle databases and SQL queries
• Proficiency with version control systems such as Git.

Benefits

• medical, dental and vision plans
• healthcare and dependent care flexible spending accounts
• paid time off