### 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)

"""Delete a cluster in a project.
    :param region: Required. The Cloud Dataproc region in which to handle the request (templated).
    :param cluster_name: Required. The cluster name (templated).
    :param project_id: Optional. The ID of the Google Cloud project that the cluster belongs to (templated).
    :param cluster_uuid: Optional. Specifying the ``cluster_uuid`` means the RPC should fail
        if cluster with specified UUID does not exist.
    :param request_id: Optional. A unique id used to identify the request. If the server receives two
        ``DeleteClusterRequest`` requests with the same id, then the second request will be ignored and the
        first ``google.longrunning.Operation`` created and stored in the backend is returned.
    :param retry: A retry object used to retry requests. If ``None`` is specified, requests will not be
        retried.
    :param timeout: The amount of time, in seconds, to wait for the request to complete. Note that if
        ``retry`` is specified, the timeout applies to each individual attempt.
    :param metadata: Additional metadata that is provided to the method.
    :param gcp_conn_id: The connection ID to use connecting to Google Cloud.
    :param impersonation_chain: Optional service account to impersonate using short-term
        credentials, or chained list of accounts required to get the access_token
        of the last account in the list, which will be impersonated in the request.
        If set as a string, the account must grant the originating account
        the Service Account Token Creator IAM role.
        If set as a sequence, the identities from the list must grant
        Service Account Token Creator IAM role to the directly preceding identity, with first
        account from the list granting this role to the originating account (templated).
    :param deferrable: Run operator in the deferrable mode.
    :param polling_interval_seconds: Time (seconds) to wait between calls to check the cluster status.
    """
    template_fields: Sequence[str] = ("project_id", "region", "cluster_name", "impersonation_chain")
    def __init__(