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Data Quality Test Engineer (ID: 2750)

Stafide
On-site
Amsterdam, Netherlands
Test Engineer
As an Data Quality Test Engineer, you will:
  • Perform data validation, schema verification, and transformation testing to ensure data integrity.
  • Develop and execute test cases, document results, and manage defect reporting.
  • Work with SQL to perform data validation, performance testing, and troubleshooting.
  • Collaborate with cross-functional teams to maintain data quality across Azure, Databricks, ADF, and Data Lakehouse environments.
  • Utilize ETL tools like SSIS for data integration and validation.
  • Implement CI/CD processes using Azure DevOps to streamline testing workflows.
  • Apply Agile and DevOps methodologies to optimize testing and development cycles.
  • Adapt to evolving ETL and cloud environments while ensuring high data quality.
What You Bring to the Table:
  • 6-8 years of experience in data testing, ETL validation, and performance tuning.
  • Proficiency in SQL for data validation and performance testing.
  • Hands-on experience with Azure, Databricks, ADF, and Data Lakehouse.
  • Expertise in ETL tools (SSIS) and CI/CD pipelines (Azure DevOps).
  • Strong knowledge of data modeling, warehousing, and transformations.
  • Experience working in an Agile and DevOps environment.
  • Analytical mindset with strong problem-solving and communication skills.
  • (Optional) Experience in test automation using Selenium, Pytest, or Robot Framework.
You should possess the ability to:
  • Ensure data integrity, transformation accuracy, and schema consistency.
  • Execute thorough test cases and maintain detailed documentation.
  • Identify and resolve data discrepancies effectively.
  • Work collaboratively with developers, data engineers, and business stakeholders.
  • Continuously improve test processes and adopt new cloud-based testing methodologies.
What We Bring to the Table:
  • A dynamic environment that fosters growth and learning in cloud and data technologies.
  • Opportunities to work on cutting-edge ETL and cloud data solutions.
  • A collaborative and agile work culture focused on data quality and automation.
  • Access to modern tools and platforms for continuous improvement.