QA Engineer - ETL

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain,CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https : / / www.cloudsufi.com /

Overview

The QA Engineer will enable a shift-left testing approach, integrating QA early into the development lifecycle to ensure data integrity, system reliability, and continuous delivery alignment within a cloud-first environment. This is a hands-on engineering role for an experienced QA Engineer with deep data testing expertise, strong automation skills, and proven experience integrating QA into CI / CD pipelines. The resource will partner with Data Engineering, Analytics, and Development teams to deliver measurable improvements in quality, automation coverage, and defect prevention.

Key Deliverables

• Automated Test Framework Development : Design and implement reusable, scalable automation frameworks covering ETL pipelines, APIs, UI, and back-end data systems using Selenium and related tools.
• End-to-End Test Coverage : Provide comprehensive manual and automated test coverage across Dev, QA, and Production environments, ensuring validation of all data processing and reporting layers.
• Data Validation & Quality Assurance : Conduct deep data validation across Databricks, Power BI, and Azure data flows to ensure accuracy, completeness, and consistency. Implement automated ETL testing to detect data issues early.
• CI / CD Integration : Integrate automated testing into CI / CD pipelines using GitHub Actions to support continuous testing, deployment validation, and faster release cycles.
• QA Process Standardization : Apply standardized QA processes, templates, and governance models aligned with enterprise QA best practices.
• Jira-Based QA Management : Leverage Jira for complete QA lifecycle management, including test planning, case management, defect tracking, and AI-assisted test creation. Use Confluence for documentation and traceability.
• AI-Augmented Testing : Utilize AI tools within Jira to automate test design, optimize test case selection, and improve overall test efficiency and coverage.
• Reporting & Visibility : Provide regular QA status updates, risk assessments, and mitigation plans. Maintain dashboards for test coverage, automation ROI, and defect trends
• Performance & Resilience Testing : Conduct performance and load testing where applicable to ensure reliability of data services. Support DR testing and validation of environment stability.

Required Skills & Experience

Preferred Qualifications

Success Metrics & KPIs

Behavioural Competencies Required

Skills Required

Github, Confluence, Power Bi, Selenium, Databricks, Jira, Postman, Azure, Sql