Data Automation QE

Develop and maintain automated test scripts using Python and PyTest to ensure the quality of Data products

Work closely with product and engineering teams to understand features develop and automate test cases and improve product quality

Perform database testing to validate data integrity and accuracy

Collaborate with cross-functional teams to understand requirements and develop test plans

Execute automated test cases and analyze results to identify defects and ensure product quality

Integrate automated tests into the CICD pipeline to ensure continuous testing

Document test cases test results and defects in a clear and concise manner

Participate in code reviews and provide feedback to improve the quality of the codebase

Stay up to date with the latest industry trends and best practices in test automation AI assisted testing and database testing

Hands on knowledge of cloud providers such as AWS Azure or Google Cloud Platform including services like EC2 S3 RDS Lambda etc

Create and maintain test data and test environments

Troubleshoot and debug issues in test scripts frameworks and test environments

Mentor and train junior team members on automation framework development and testing best practices

Collaborate with developers to ensure testability of code and sufficient automation coverage

Write and execute complex SQL queries Joins Rank Union CTEs Window Functions etc to validate data integrity and accuracy

Develop and maintain database testing scripts and tools

Collaborate with database administrators to resolve database related issues

Work within Agile teams to deliver high quality database solutions

Participate in Agile ceremonies such as sprint planning daily stand ups and retrospectives

We are looking for an experienced Data Automation QE with strong expertise in Python, PyTest, Database Testing, SQL, ETL validation, API Automation, and Cloud technologies to join our team., Leverage AI tools such as GitHub Copilot ChatGPT Cursor or similar technologies to accelerate framework development generate test scenarios improve code quality and enhance automation productivity

Must Have Skills

ETL process validation Database Testing and SQL Complex Queries

Hands on experience with cloud platforms such as AWS Azure or Google Cloud Platform

Strong Python programming skills with hands on experience in PyTest

Experience designing developing and maintaining automation frameworks from scratch

Familiarity with CICD tools and processes Jenkins GitHub Actions Azure DevOps etc

API Test Automation

Agile methodologies

Good communication skills

Experience using AI powered development tools GitHub Copilot ChatGPT Cursor etc. for automation development test case generation framework enhancements and productivity improvements

Required Skills and Qualifications

Bachelor’s degree in Computer Science Engineering or a related field

Proven experience with Varicent products and their implementation

Strong proficiency in Python programming PyTest and automation framework development

Experience building scalable and maintainable automation frameworks

Experience with database testing including writing and executing complex SQL queries

Familiarity with CICD tools and processes eg Jenkins GitHub Actions

Experience with API automation testing

Ability to effectively utilize AI assisted development tools to improve automation efficiency and framework development

Excellent problem solving skills and attention to detail

Strong communication and collaboration skills

Ability to work independently and as part of a team

Experience working in agile environments and familiarity with agile methodologies

Preferred Knowledge and Skills

Experience with other automation tools and frameworks

Familiarity with cloud platforms AWS Azure Google Cloud Platform

Experience with RESTful API testing and tools Postman Soap UI

Knowledge of version control systems Git

Understanding of Agile methodologies and practices

Experience with containerization technologies Docker Kubernetes

Experience with data warehousing and ETL processes

Experience with PyTest plugins Allure Reporting and advanced automation framework architecture

Hands on experience using AI assisted software development and testing tools such as GitHub Copilot ChatGPT Azure Open AI Cursor Claude or equivalent technologies

Ability to evaluate and adopt AI powered solutions to improve test automation coverage quality and efficiency