Azure Data Factory
Also written as Data Factory, ADF Pipelines
Microsoft Azure's service for building data pipelines: moving data between systems and scheduling transformations, mostly through a drag-and-drop designer. Standard in Azure-based data engineering roles, often alongside Databricks. Microsoft Fabric includes a newer version of the same tool.
Think of it like
A conveyor-belt system laid out on a floor plan, deciding which goods move from which loading dock to which warehouse, and when.
Junior or senior?
Near-standard in Azure data JDs, so the tool alone doesn't separate candidates.
Senior sounds like
Has built reusable, parameterised pipelines, handled failures and retries, and promoted pipelines between environments with CI/CD rather than by hand.
Ask them
“How did you move your Data Factory pipelines from development to production, and how did you handle a pipeline that failed overnight?”