What you’ll bring
- 2–4 years of experience in software testing, preferably with exposure to data/ETL testing
- Basic understanding of ETL processes and data pipelines
- Proficiency in SQL for data querying and validation
- Familiarity with Python, Selenium, and/or automation frameworks
- Exposure to GitHub and CI/CD pipelines
- Basic knowledge of Azure/cloud environments
- Understanding of data comparison and validation techniques
- Awareness of incremental data loads and data processing concepts
- Basic knowledge of Microsoft Fabric and Lakehouse vs Data Warehouse concepts
- Experienced in BI tools like Power BI
- Understanding of SDLC and STLC processes
- Familiarity with Agile methodology
- Open mindset with a willingness to learn new technologies, especially AI tools in QA
Education Qualification
Bachelor’s degree in computer science, IT, or related field
Skills
Testing, SQL, Python/ Selenium, ETL Testing, CI/CD, GitHub, Data Validation, Automation (basic), BI Tools
What you will do
- Assist in providing accurate updates on test progress and outcomes
- Support testing of BI reports for data accuracy and functionality
- Maintain and update tasks within workflows and provide daily status updates
- Ensure assigned quality assurance objectives are met before delivery
- Contribute to continuous improvement by identifying and addressing quality issues
- Develop and maintain basic automation scripts using Python for:
- Support integration of automation scripts into CI/CD pipelines
- Leverage AI tools (such as Cursor, Copilot, etc.) to improve productivity and testing efficiency