[Hiring] Data QA Automation Engineer @GlobalLogic

Role Description

Our Client is one of the major players in automotive aftermarket in the USA. The car repair, automotive touch-up and car care solutions are designed to help body shops put quality vehicles on the road. Pattern Marketplace platform is an advanced tool that enables cutting paint protection film and window film.

Qualifications

• 5+ years of experience in Quality Assurance, with proven expertise in test automation and hands-on experience in data testing.
• 3+ years of hands-on experience with Python, including designing, developing, and maintaining automated tests using Pytest, Unittest, or similar frameworks.
• Strong SQL skills for data validation, complex queries, and source-to-target data comparisons.
• Experience with Data Warehousing and ETL/ELT testing, including validation of data transformations and business rules.
• Experience testing large datasets, identifying discrepancies across millions of records, and performing root cause analysis.
• Strong understanding of data quality principles, including data completeness, accuracy, consistency, integrity, and null handling.
• Strong analytical and problem-solving skills, with good English communication skills.

Requirements

• Experience with Microsoft Fabric and other Azure data services (ADLS, Azure Functions, etc.).
• Experience with API testing and CI/CD pipelines.
• Familiarity with Azure DevOps or Jira environments.
• Knowledge of .NET or experience in industrial software development.
• Solid experience working in fast-paced Scrum environments and understanding the QA lifecycle within short delivery sprints.

Job Responsibilities

• Work closely with Data Engineers to integrate automated data validation and model tests into CI/CD pipelines using Azure DevOps or GitHub actions, helping prevent data quality issues from reaching production.
• Design and maintain manual and automated test coverage for ETL/ELT workflows and Data Warehouse solutions.
• Validate end-to-end data flows from source systems to target tables, ensuring data accuracy, completeness, and consistency.
• Develop and maintain Python-based automation scripts to validate data integrity, transformation logic, and business rules at scale.
• Identify, document, and track data discrepancies, collaborating with Data Engineers on root-cause analysis and resolution.
• Provide regular QA and data quality reporting to customer stakeholders, covering testing progress, key findings, risks, blockers, defects, and outcomes.
• Actively participate in Scrum ceremonies, contributing to requirements refinement, estimation, and quality-related decisions.

Benefits

• Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies.
• Empowering Growth: We foster a culture of continuous learning and professional development, providing timely and comprehensive assistance for every consultant through our dedicated Learning & Development team.
• DE&I Matters: We deeply value and embrace diversity, providing equal opportunities for all individuals and fostering an inclusive work environment.
• Career Development: Our corporate culture emphasizes career development, offering abundant opportunities for growth and regular interactions with our teams.
• Comprehensive Benefits: We provide a comprehensive benefits package that prioritizes the overall well-being of our consultants.
• Flexible Opportunities: We prioritize work-life balance by offering flexible opportunities tailored to your lifestyle, including relocation and rotation options.

Company Description

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution, helping create some of the most innovative and widely used digital products and experiences.