Quality Control Engineer (Lithuania)

You will be an integral part of a cross-functional team focused on delivering next-generation data migration and cloud solutions. You will collaborate closely with engineers, product owners, and analysts to drive quality and innovation in our data platform. We are looking for a specialist based in Lithuania to join our team.

We are looking for a detail-oriented Quality Control Engineer to lead and execute data migration testing from legacy databases to AWS cloud environments, specifically leveraging Iceberg. You will play a key role in ensuring data correctness, consistency, and reliability throughout the migration process and beyond. 

This position requires a strong background in data validation, testing automation, and collaboration with cross-functional teams to uphold the highest product quality standards.

• Design and execute data migration testing from legacy databases to AWS cloud (Iceberg).
• Implement data quality best practices to ensure data correctness, consistency, and reliability across all phases.
• Prioritize, design, and automate test cases to accelerate delivery timelines while maintaining quality.
• Build and maintain regression test suites.
• Collaborate closely with development, DevOps, and data engineering teams to uphold and improve product quality.
• Follow a robust defect management process to ensure quick turnaround, thorough tracking, and resolution of issues.
• Identify potential blockers or deviations affecting quality early and communicate them effectively to relevant stakeholders.

• Strong experience with legacy databases and data testing methodologies.
• Proficient in SQL.
• Hands-on experience working on legacy-to-cloud data migration projects.
• Solid understanding of ETL pipelines and AWS cloud services involved in data migration processes.
• Experience with backend testing frameworks such as Pytest, specifically for data quality validation.
• Proven ability to design, set up, and maintain test automation frameworks from the ground up.
• Familiarity with AWS services including Athena, Glue, and Step Functions, with ability to query and validate data using Athena.
• Understanding of best practices for data quality assurance in cloud migration contexts.

• Experience with Apache Iceberg.
• Experience with data pipeline monitoring and observability tools.
• Familiarity with additional programming or scripting languages beneficial for test automation.
• Knowledge of AWS security best practices related to data and testing environments.
• Experience working in Agile and DevOps-oriented teams.

• Professional Development:

— Experienced colleagues who are ready to share knowledge;

— The ability to switch projects, and technology stacks, try yourself in different roles;

— More than 150 workplaces for advanced training;

— Study and practice of English: courses and communication with colleagues and clients from different countries;

— Support of speakers who make presentations at conferences and meetings of technology communities;

— Stable income (Employment Contract with taxes allocated to Lithuania)

• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;

• Friendly atmosphere, concern for the comfort of specialists;

• Flexible schedule and opportunity to work remotely within Lithuania.

To apply or inquire, please copy the following email address and paste it into your preferred email client: careers.riga@dataart.com