What are the responsibilities and job description for the Python Automation Testing QA - Python +ETL+ Pytest position at Innorev Technologies, Inc?
Job Details
Role: Python Automation Testing QA - Python ETL Pytest
Onsite Role in Fort Mill, SC
W2 Contract Role
JD:
Key Responsibilities:
- Develop and maintain automated test scripts using Python to ensure the quality of Varicent products.
- Work closely with product and engineering teams to understand features develop and automate test cases 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 CI/CD 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 and database testing.
- Hands-on knowledge in any of the cloud provider like AWS, Azure etc. Also exposure to services like EC2, S3, RDS, Lambda etc.
- Create and maintain test data and test environments.
- Write and execute complex SQL queries (Joins, Rank, Union etc.) to validate data integrity and accuracy.
- Perform data validation and data quality checks.
- Develop and maintain database testing scripts and tools.
- Collaborate with database administrators to resolve database-related issues.
Must Have skills:
- ETL process, Database Testing and SQL (Complex queries)
- Hands-on experience in any of the cloud provider (AWS, Google Cloud Platform, Azure etc.)
- Python programming skills PyTest
- Strong proficiency in Python programming and automation frameworks - PyTest
- API Test automation - Postman, SoapUI
- Experience with database testing, including writing and executing SQL queries.
- Familiarity with CI/CD tools and processes (e.g., Jenkins, GitHub Actions).
- Experience with data warehousing and ETL processes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
