About The Job

As an ideal candidate for the Junior QA Engineer (ETL & Data Testing) position, you have a foundational understanding of ETL processes and a keen interest in ensuring data quality and integrity through structured testing practices.

You bring a blend of analytical thinking and a methodical approach, enabling you to support the execution of effective testing strategies for data integration projects.

From a technical perspective, you have exposure to ETL tools and frameworks and understand how data flows through pipelines.

You are eager to build your expertise in validating data transformations, integrations, and load processes.

You have a basic understanding of Agile methodologies, test execution, and defect tracking, and you actively participate in team discussions and status updates.

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
Exposure to BI tools like Power BI or Tableau is a plus
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:
Data comparison (source vs target) - Regression testing
Data validation support
Support integration of automation scripts into CI/CD pipelines
Leverage AI tools (such as Cursor, Copilot, etc.) to improve productivity and testing efficiency

(ref:hirist.tech)

Kanerika Software - ETL Tester