Opening For Test engineer with ETL And Power BI

Tekskills Inc.; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Tekskills Inc. in Bengaluru, India, is seeking an ETL and Power BI Tester specializing in Azure Data Factory (ADF), Python and Pytest to validate ETL pipelines deployed in Azure clouds.

You will design automated test cases, run data quality checks with SQL, and collaborate with data engineers to ensure accurate data flows and scalable BI reporting. The role requires strong scripting, data profiling, and performance testing to ensure data integrity, reliability of pipelines, and seamless

Qualifications

• Design and develop manual and automated test cases for ADF pipelines using Python and pytest.
• Validate data transformations, mappings and data integrity with SQL queries and data profiling.
• Automate functional, regression and performance tests of ETL workflows for pipeline reliability.

Responsibilities

• Design, develop and execute manual and automated test cases for Azure Data Factory ETL pipelines using python and pytest.
• Validate data transformations, data mappings, and data integrity through SQL queries and data profiling.
• Automate functional, regression, and perfomance tests of ETL workflows to ensure pipeline reliability.
• Collaborate with data engineers, analysts and developers to understand ETL and POWER BI specifications and data flow requirements
• Document test plans, test cases, defects, and provide timely feedback on issues.
• Maintain test automation frameworks, leveraging Pytest fixtures and libraries to validate Azure Data Factory activities.

Skills

Python scripting

Pytest framework

Azure Data Factory

SQL queries

Power BI

Tools

Azure Data Factory

Job description

As an ETL And Power BI Tester specializing in Azure Data Factory(ADF), Python, and Pytest will be responsible for ensuring the accuracy, integrity, and performance of ETL Pipelines deployed into Azure cloud environments. Role will involve developing and automating comprehensive test cases to validate the data flows, transformations, and system behaviours using python scripting and Pytest framework, integrated into CI/CD pipelines for Automated quality assurance.

Roles and Responsibilities

• 1. Design and develop and execute manual and automated test cases for Azure Data Factory ETL pipelines using python and pytest.
• 2. Validate the data transformations, data mappings, and data integrity through SQL queries and data profiling.
• 3. Automate functional, regression, and perfomance tests of ETL workflows to ensure pipeline reliability.
• 4. Collaborate with data engineers, analysts and developers to understand ETL and POWER BI Specifications and data flow requirements
• 5. Document Test plans, Test Cases, defects, and provide the timely feedback on issues.
• 6. Maintain Test automation frameworks, leveraging Pytest fixtures and libraries such as to validate Azure data factory activities.