Appzlogic Mobility - Python Automation Quality Analyst (5-6 yrs)

Key Responsibilities :

Automation Framework Development :

- Design and implement robust, scalable, and reusable test automation frameworks using Python.

- Automate functional, regression, and integration test cases.

Database Testing :

- Write and execute SQL queries to validate data integrity and database functionality.

- Perform database schema verification and data migration testing using Python scripts.

Test Execution & Maintenance :

- Execute automated test scripts and analyze test results to identify and troubleshoot issues.

- Maintain and update test scripts to align with new features and changes.

Collaboration :

- Work closely with developers, product managers, and QA team members to understand requirements and create effective test cases.

- Participate in code reviews to ensure adherence to best practices and coding standards.

Reporting & Documentation :

- Document test plans, test cases, and test results clearly and concisely.

- Provide detailed bug reports and track issues to closure.

Required Skills & Qualifications :

Technical Skills :

- Strong proficiency in Python for scripting and automation.

- Hands-on experience with SQL and database testing (writing complex queries, verifying stored procedures, etc.).

- Experience with tools like Selenium, PyTest, or other automation frameworks.

- Familiarity with version control tools such as Git.

Testing Expertise :

- Solid understanding of QA methodologies, tools, and processes.

- Experience with API testing (using tools like Postman or Python libraries such as requests).

- Familiarity with performance testing tools is a plus (e.g., JMeter).

Problem-Solving Skills :

- Strong analytical and troubleshooting skills.

- Ability to identify root causes of issues and propose effective solutions.

Soft Skills :

- Excellent communication and collaboration skills.

- Detail-oriented with a focus on delivering high-quality work.

Preferred Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Experience working in Agile/Scrum environments.

- Familiarity with cloud platforms like AWS, Azure, or GCP is a bonus.