Location: Atlanta/ Hybrid
Client- Southern Co Gas Corp
Contract- 1 Year
The Quality Assurance Data Engineer plays a critical role in validating the integrity, reliability, and performance of our enterprise decision-making data platform. This position ensures high-quality data analytics delivery by enforcing standards, executing thorough testing, identifying data-related issues, and supporting continuous improvement throughout the software development lifecycle.
The ideal candidate brings strong analytical skills, exceptional attention to detail, technical proficiency in data testing, and the ability to collaborate effectively across cross-functional Agile teams. This role will require both manual and automated testing across cloud environments, data pipelines, and front-end applications.
Develop and execute detailed test strategies, plans, and scripts based on requirements and design specifications
Perform functional, regression, integration, and performance testing for data and application workflows
Create and maintain testing artifacts including test cases, automation scripts, and test execution results
Validate data pipelines, processing logic, ETL/ELT workflows, and data quality rules
Collaborate with Data Engineers, Developers, and Product Owners to ensure adherence to data quality standards
Identify, log, and track defects using Jira and Zephyr Scale, ensuring timely resolution
Support continuous QA improvement, including automation expansion and CI/CD quality gates
Participate in Agile ceremonies and contribute to overall delivery planning
Advocate and implement data quality best practices and governance standards
Support DataBricks and Azure-based testing and quality monitoring workflows
Bachelor’s degree in Computer Science, Information Technology, Data Engineering or related field
Proven QA experience across integrated software and data platforms
Experience validating front-end applications and user workflows
Strong analytical and problem-solving skills
Testing Tools & QA Frameworks: Tricentis Tosca (preferred), manual testing tools, automated testing frameworks
Cloud Platform: Microsoft Azure (Data Engineering ecosystem)
Data & Programming: Python, SQL
Platform Experience: Azure DataBricks
Project Tools: Jira, Zephyr Scale
Familiarity with Agile development and Scrum methodologies
4P Consulting is a highly specialized Staffing and Recruiting company with significant experience and expertise in the Engineering industry, IT, Admin, Accounting, Advertising .
Core Competencies :
Engineering:
Value Based Staffing, Training and Employee oriented priority
Training and Documentation and Information Technology:
E learning expertise, Apple base application development and Web site support.
