### Apache Airflow version

main (development)

### What happened

The DataprocCreateBatchOperator (Google provider) handles the case when a batch_id already exists in the Dataproc API by 'reattaching' to a potentially running job.  

Current reattachment logic uses the non-deferrable method even when the operator is in deferrable mode.  

### What you think should happen instead

The operator should reattach in deferrable mode. 

### How to reproduce

Create a DAG with a task of DataprocCreateBatchOperator that is long running.  Make DataprocCreateBatchOperator deferrable in the constructor.  

Restart local Airflow to simulate having to 'reattach' to a running job in Google Cloud Dataproc. 

The operator resumes using the running job but in the code path for the non-derferrable logic.  

### Operating System

macOS 13.4.1 (22F82)

### Versions of Apache Airflow Providers

Current main.

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

date = time.strftime("%Y%m%d%H%M%S")
        return f"{date}_{str(uuid.uuid4())[:8]}_{ntpath.basename(filename)}"
    def _upload_file_temp(self, bucket, local_file):
        """Upload a local file to a Google Cloud Storage bucket."""
        temp_filename = self._generate_temp_filename(local_file)
        if not bucket:
            raise AirflowException(
                "If you want Airflow to upload the local file to a temporary bucket, set "
                "the 'temp_bucket' key in the connection string"
            )
        self.log.info("Uploading %s to %s", local_file, temp_filename)
        GCSHook(gcp_conn_id=self.gcp_conn_id, impersonation_chain=self.impersonation_chain).upload(
            bucket_name=bucket,
            object_name=temp_filename,
            mime_type="application/x-python",
            filename=local_file,
        )
        return f"gs://{bucket}/{temp_filename}"
    def __init__(