Azure Data Test Engineer 3783

For our world-class consulting partner, where you can work with the latest technologies we are looking for a

• Plan, create, and execute detailed testing scenarios to verify ETL and data pipeline workflows, including data transformations and end-to-end data integrity checks (such as source-to-target validation, cross-references, and reconciliation),
• Review data extraction, transformation, and loading activities to confirm correctness, completeness, consistency, schema integrity, referential integrity, deduplication, lineage, and schema drift handling,
• Conduct XREF validations, source-to-target comparisons, and data reconciliation across interconnected systems,
• Perform end-to-end testing of data pipelines within data lake and data warehouse environments, including platforms based on Databricks, Delta Lake tables, clusters, notebooks, and SQL endpoints,
• Build and execute automated data validation and regression testing solutions using Python or PySpark,
• Embed testing processes into CI/CD workflows and version control practices with GitHub, covering branching strategies, pull requests, and test script maintenance,
• Execute API testing activities (REST / JSON / XML) for pipelines that expose or consume APIs, ensuring payload accuracy and correct data integration,
• Log, monitor, and assist in resolving defects and data-quality-related issues.

Excellent benefits package:

• Flexible remote work opportunities,
• Private life and health insurance,
• Extra vacation days,,
• Employee advisory services (financial and mental health support)
• AYCM gym membership,
• Additional parental leave,
• Modern, high-tech, employee-friendly office with games and relaxation rooms.

Professionally:

• Diverse, full-cycle international projects,
• Career development opportunity,
• Paid certifications, access to learning platforms

• Buddy system and professional mentorship starting from day one.

Microsoft Azure, Azure Databricks, Databricks Products, Python, PySpark, Scripting, QA, Automation, ETL testing, Azure Data Factory, System Integration Testing

• Medior-senior experience in ETL testing or QA,
• Experience writing Python /PySpark scripts,
• Confident English skills.

If this position has caught your interest, please submit your professional CV in English by clicking