Data Automation Engineer – Python / PyTest

Axiom Global Technologies; Fort Mill (SC); On-site; USD 110,000 - 140,000; Full time

Job summary

Axiom Global Technologies seeks a Data Automation Engineer to advance our data quality initiatives. The role focuses on building Python-based automation, validating ETL pipelines, and performing SQL checks to ensure data integrity across systems.

You will collaborate with cross-functional teams in an Agile environment, automate REST API tests, and contribute to CI/CD pipelines in cloud environments (AWS/Azure/GCP).

Qualifications

• Strong Python, PyTest, and automation framework development experience.
• Expertise in SQL, database testing, and ETL validation.
• Hands-on API automation testing experience.
• Familiarity with Jenkins, GitHub Actions, Azure DevOps, and Git.
• Experience with cloud platforms and AI-powered development tools.
• Varicent product implementation experience is required.
• Strong analytical, troubleshooting, and communication skills.

Responsibilities

• Develop and maintain Python automation frameworks using PyTest.
• Perform ETL validation, database testing, and complex SQL-based data verification.
• Automate REST API testing and integrate test suites into CI/CD pipelines.
• Work with AWS, Azure, or GCP environments and support test data management.
• Collaborate with development and QA teams in an Agile environment.
• Utilize AI-assisted coding tools to improve automation efficiency and test coverage.

Skills

Python

PyTest

Automation frameworks

SQL

Database testing

ETL validation

API automation

CI/CD

AWS

Azure

GCP

Varicent

AI tools

Tools

Jenkins

GitHub Actions

Azure DevOps

Git

Job description

We are looking for an experienced Data Automation Engineer with strong expertise in Python, PyTest, database testing, SQL, and ETL validation to support data quality and automation initiatives.

Key Responsibilities:

• Develop and maintain Python-based automation frameworks using PyTest.
• Perform ETL validation, database testing, and complex SQL-based data verification.
• Automate REST API testing and integrate test suites into CI/CD pipelines.
• Work with AWS, Azure, or GCP environments and support test data management.
• Collaborate with development and QA teams in an Agile environment.
• Utilize AI-assisted coding tools to improve automation efficiency and test coverage.

Required Skills:

• Strong Python, PyTest, and automation framework development experience.
• Expertise in SQL, database testing, and ETL validation.
• Hands-on API automation testing experience.
• Familiarity with Jenkins, GitHub Actions, Azure DevOps, and Git.
• Experience with cloud platforms and AI-powered development tools.
• Varicent product implementation experience is required.
• Strong analytical, troubleshooting, and communication skills.