### 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)

if self.zone:
            master_type_uri = (
                f"projects/{self.project_id}/zones/{self.zone}/machineTypes/{self.master_machine_type}"
            )
            worker_type_uri = (
                f"projects/{self.project_id}/zones/{self.zone}/machineTypes/{self.worker_machine_type}"
            )
        else:
            master_type_uri = self.master_machine_type
            worker_type_uri = self.worker_machine_type
        cluster_data = {
            "gce_cluster_config": {},
            "master_config": {
                "num_instances": self.num_masters,
                "machine_type_uri": master_type_uri,
                "disk_config": {
                    "boot_disk_type": self.master_disk_type,
                    "boot_disk_size_gb": self.master_disk_size,
                },
            },
            "worker_config": {
                "num_instances": self.num_workers,
                "machine_type_uri": worker_type_uri,
                "disk_config": {
                    "boot_disk_type": self.worker_disk_type,
                    "boot_disk_size_gb": self.worker_disk_size,
                },
            },
            "secondary_worker_config": {},