I'm looking at the GCP Dataproc operator and noticed that the `DataprocCreateClusterOperator` and `DataprocDeleteClusterOperator` require a `region` parameter, but other operators, like the `DataprocSubmitJobOperator` require a `location` parameter instead. I think it would be best to consistently enforce the parameter as `region`, because that's what is required in the protos for all of the [cluster CRUD operations](https://github.com/googleapis/python-dataproc/blob/master/google/cloud/dataproc_v1/proto/clusters.proto) and for [job submission](https://github.com/googleapis/python-dataproc/blob/d4b299216ad833f68ad63866dbdb2c8f2755c6b4/google/cloud/dataproc_v1/proto/jobs.proto#L741). `location` also feels too ambiguous imho, because it implies we could also pass a GCE zone, which in this case is either unnecessary or not supported (I can't remember which and it's too late in my Friday for me to double check 🙃 )

This might be similar to #13454 but I'm not 100% sure. If we think this is worth working on, I could maybe take this on as a PR, but it would be low priority for me, and if someone else wants to take it on, they should feel free to 😄  

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**Apache Airflow version**: 2.0.1


**Environment**:

running locally on a Mac with SQLite backend only running a unit test that makes sure the dag is compiled. Installed with Pip and the provided constraints file. 

**What happened**:

if you pass `location` in the `DataprocCreateClusterOperator` the DAG won't compile and will throw an error `airflow.exceptions.AirflowException: Argument ['region']`

As minimally and precisely as possible. Keep in mind we do not have access to your cluster or dags.


--->


airflow/providers/google/cloud/operators/dataproc.py
:type subnetwork_uri: str
    :param internal_ip_only: If true, all instances in the cluster will only
        have internal IP addresses. This can only be enabled for subnetwork
        enabled networks
    :type internal_ip_only: bool
    :param tags: The GCE tags to add to all instances
    :type tags: list[str]
    :param region: The specified region where the dataproc cluster is created.
    :type region: str
    :param gcp_conn_id: The connection ID to use connecting to Google Cloud.
    :type gcp_conn_id: str
    :param service_account: The service account of the dataproc instances.
    :type service_account: str
    :param service_account_scopes: The URIs of service account scopes to be included.
    :type service_account_scopes: list[str]
    :param idle_delete_ttl: The longest duration that cluster would keep alive while
        staying idle. Passing this threshold will cause cluster to be auto-deleted.
        A duration in seconds.
    :type idle_delete_ttl: int
    :param auto_delete_time:  The time when cluster will be auto-deleted.
    :type auto_delete_time: datetime.datetime
    :param auto_delete_ttl: The life duration of cluster, the cluster will be
        auto-deleted at the end of this duration.
        A duration in seconds. (If auto_delete_time is set this parameter will be ignored)
    :type auto_delete_ttl: int
    :param customer_managed_key: The customer-managed key used for disk encryption
        ``projects/[PROJECT_STORING_KEYS]/locations/[LOCATION]/keyRings/[KEY_RING_NAME]/cryptoKeys/[KEY_NAME]`` # noqa
    :type customer_managed_key: str
    """
    def __init__(