Responsibilities

• Work in a Scrum team, convert stories to test artifacts, design and execute test cases to ensure no defective products are moved to production, verify data integrity and data quality.
• Collaborate with software developers and contribute to QA vision in Refinement and Sprint Planning sessions.
• Raise awareness of discovered issues, document them, and collaborate on solutions.
• Communicate application defects clearly and concisely.
• Conduct bugfix verification and validation.
• Assist with regression, environment setup verification, and cooperation with automation engineers.

Requirements

• 3+ years of experience in Data Quality Engineering.
• Knowledge of Software Development Life Cycle (SDLC).
• Strong understanding of QA processes and methodologies, particularly Agile.
• Experience with API testing and data validation.
• SQL knowledge and skills.
• Familiarity with Azure Data Factory, Databricks, Azure Storage is a plus.
• Experience with QA testing on iOS and Android applications is a plus.
• Ability to learn new software quickly.
• Experience in leading multicultural QA teams.
• Creative thinking and attention to detail.
• Ability to prioritize tasks in a high-pressure environment.
• Focus on deadlines and deliverables.
• Experience in a collaborative environment.

We Offer

• International projects with top brands.
• Collaboration with skilled global teams.
• Healthcare benefits.
• Employee financial programs.
• Paid time off and sick leave.
• Upskilling, reskilling, and certification courses.
• Unlimited access to LinkedIn Learning and 22,000+ courses.
• Global career opportunities.
• Volunteer and community involvement.
• Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn.