### Description

The Python Google Cloud Dataproc API version has been updated in Airflow to support filtering on the Dataproc Batches API.  The DataprocListBatchesOperator can be updated to make use of this filtering.  

Currently, DataprocListBatchesOperator returns, and populates xcom with every job run in the project.  This almost surely will fail as the return object is large and xcom storage is low, especially with MySQL. Filtering on job prefix and create_time are much more useful capabilities. 

### Use case/motivation

The ability to filter lists of GCP Dataproc Batches jobs.  

### Related issues

None

### Are you willing to submit a 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)

project_id="my-project",
            cluster_name="cluster-1",
            num_workers=10,
            num_preemptible_workers=10,
            graceful_decommission_timeout="1h",
        )
    .. seealso::
        For more detail on about scaling clusters have a look at the reference:
        https://cloud.google.com/dataproc/docs/concepts/configuring-clusters/scaling-clusters
    :param cluster_name: The name of the cluster to scale. (templated)
    :param project_id: The ID of the google cloud project in which
        the cluster runs. (templated)
    :param region: The region for the dataproc cluster. (templated)
    :param num_workers: The new number of workers
    :param num_preemptible_workers: The new number of preemptible workers
    :param graceful_decommission_timeout: Timeout for graceful YARN decommissioning.
        Maximum value is 1d
    :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).
    """
    template_fields: Sequence[str] = ("cluster_name", "project_id", "region", "impersonation_chain")
    operator_extra_links = (DataprocLink(),)
    def __init__(