Cloud-Driven Data Test Automation Engineer (Python/PyTest)

GAC Solutions; Fort Mill (SC); On-site; USD 90,000 - 120,000; Full time

Job summary

GAC Solutions in Fort Mill, SC seeks a QA automation engineer with strong Python skills and hands-on experience in ETL validation, SQL and API testing. You will design and maintain automation frameworks from scratch, using CI/CD tools and cloud platforms (AWS/Azure/GCP).

Experience with PyTest and AI-assisted tooling is valued. The role focuses on building scalable test automation, validating data quality, and driving productivity through automation enhancements.

Qualifications

• Experience validating ETL processes and ensuring data quality.
• Proficiency in SQL querying and data validation techniques.
• Strong Python programming skills for test automation.
• Experience designing, developing and maintaining automation frameworks from scratch.
• Familiarity with CI/CD tools and processes (Jenkins, GitHub Actions, Azure DevOps).
• API test automation experience.
• Exposure to AI-powered development tools for automation and productivity improvements.

Responsibilities

• Design, implement and maintain automated test suites for data pipelines and APIs.
• Craft robust QA automation frameworks from scratch and integrate with CI/CD.
• Utilize cloud platforms (AWS, Azure or GCP) for testing and validation.
• Leverage PyTest and modern tooling to accelerate test case generation and execution.
• Improve automation productivity using AI-assisted development tools.

Skills

ETL validation

SQL

Python

Test automation

Automation frameworks

API testing

AI tooling

Tools

AWS

Azure

GCP

PyTest

Jenkins

GitHub Actions

Azure DevOps

Job description

GAC Solutions in Fort Mill, SC seeks a QA automation engineer with strong Python skills and hands-on experience in ETL validation, SQL and API testing. You will design and maintain automation frameworks from scratch, using CI/CD tools and cloud platforms (AWS/Azure/GCP).

Experience with PyTest and AI-assisted tooling is valued. The role focuses on building scalable test automation, validating data quality, and driving productivity through automation enhancements.