### 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)

be resolved in the script as template parameters.
    .. code-block:: python
        t1 = DataProcPigOperator(
            task_id="dataproc_pig",
            query="a_pig_script.pig",
            variables={"out": "gs://example/output/{{ds}}"},
        )
    .. seealso::
        For more detail on about job submission have a look at the reference:
        https://cloud.google.com/dataproc/reference/rest/v1/projects.regions.jobs
    :param query: The query or reference to the query
        file (pg or pig extension). (templated)
    :param query_uri: The HCFS URI of the script that contains the Pig queries.
    :param variables: Map of named parameters for the query. (templated)
    """
    template_fields: Sequence[str] = (
        "query",
        "variables",
        "job_name",
        "cluster_name",
        "region",
        "dataproc_jars",
        "dataproc_properties",
        "impersonation_chain",
    )
    template_ext = (".pg", ".pig")
    ui_color = "#0273d4"
    job_type = "pig_job"
    operator_extra_links = (DataprocLink(),)
    def __init__(