Data QA Engineer

About the Position

Data QA Engineer IRC295789

We are seeking a Data QA Engineer with 3-5 years of experience in Quality Assurance and Data Warehousing to join our automotive aftermarket team in Romania. This role is fully remote.

Responsibilities

• Create comprehensive manual and automated test plans tailored to ETL workflows and Data Warehouse architectures.
• Perform rigorous testing to ensure data flows correctly and accurately from diverse source systems to target tables.
• Design and implement automation scripts to validate data integrity, completeness, and transformation logic at scale.
• Identify and track data discrepancies, collaborating closely with Data Engineers to perform root-cause analysis on failures.
• Actively participate in Scrum ceremonies to refine requirements, estimate data-related tasks, and provide quality-based recommendations.

Requirements

• 5+ years in Quality Assurance with a proven track record in Data Warehousing and ETL testing.
• Solid experience working in fast-paced Scrum environments and understanding the QA lifecycle within short delivery sprints.
• Advanced ability to write complex queries to audit data logic.
• Hands-on experience with testing frameworks such as PyTest (Python) or NUnit/xUnit (C#).
• Advanced SQL skills for querying source databases to create baseline data for comparisons.
• Deep understanding of data-specific concepts like schema evolution, data truncation, null handling, and referential integrity.
• Work closely with data engineers to integrate your automated data and model tests into our deployment pipelines (Azure DevOps / GitHub Actions) to prevent bad data from reaching production.
• High-level professional proficiency in English (written and verbal) for technical documentation and stakeholder communication.
• Strong problem-solving skills with the ability to identify “the needle in the haystack” within millions of rows of data.

Nice to Have

• Experience using Azure DevOps (AzDO) or Jira for test case management and bug tracking.
• Familiarity with Azure services (Function apps, ADLS etc).
• Experience in testing web services/APIs.

We Offer

• 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. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.
• DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.
• Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.
• Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.
• Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About the Company

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. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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