Data QA

2 dni temu


Warszawa, Mazovia, Polska inhire Pełny etat 45 000 zł - 90 000 zł rocznie

Dla naszego klienta DataArt Poland poszukujemy osoby na stanowisko Data QA.

Team

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.

Position overview

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.

Responsibilities

  • 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.

Requirements

  • 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 the ability to query and validate data using Athena.
  • Understanding of best practices for data quality assurance in cloud migration contexts.

Nice to have

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


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