An ML engineer is building a SageMaker Pipeline for a churn-prediction model. Before training, the raw dataset in S3 must be cleaned and feature-engineered using a custom scikit-learn script. The engineer wants this preprocessing to run as a distinct, reusable step within the pipeline definition, with the output feeding directly into the subsequent training step. Which pipeline step type should be used to run the custom scikit-learn preprocessing script?