The role involves performing comprehensive ETL testing on large-scale data pipelines. The individual will validate data flow from various source systems to target databases and verify complex business rules. Responsibilities include executing API test scenarios and validating data formats such as JSON and XML. The position requires designing and maintaining automated test frameworks to ensure data quality and regression testing. Additionally, the role involves logging and tracking defects while collaborating with development teams to resolve issues.

The role requires five or more years of experience in ETL and data testing projects. Candidates must possess strong hands-on experience with Azure Databricks and Azure Data Factory. Proficiency in SQL for writing complex queries and experience using Python or PySpark for data validation are mandatory. Furthermore, the position requires familiarity with test automation, data formats, version control systems, and agile methodologies.