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
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