Job Description

What will your role look like

  • You will be responsible for testing end-to-end data pipelines built in Azure Data Factory and Databricks, ensuring data flows accurately from source to sink.
  • Using PySpark and Python, you will validate complex business logic and data transformations created by the engineering team.
  • You will engage in pipeline reviews, treating test as code and ensuring that the engineering concepts applied are robust and scalable.
  • You will manage and execute tests within Azure DevOps environments, ensuring that data quality is maintained throughout the continuous integration and delivery lifecycle.
  • While the organizational title is Tester, your role is that of a hands-on technical contributor. You will take ownership of the validation strategy for your specific domain.


Why you will love this role

  • This isn't traditional manual or API testing. You will be writing code and ...

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