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/sensors/dataproc.py
"""
    Check for the state of a previously submitted Dataproc job.
    :param project_id: The ID of the google cloud project in which
        to create the cluster. (templated)
    :type project_id: str
    :param dataproc_job_id: The Dataproc job ID to poll. (templated)
    :type dataproc_job_id: str
    :param location: Required. The Cloud Dataproc region in which to handle the request. (templated)
    :type location: str
    :param gcp_conn_id: The connection ID to use connecting to Google Cloud Platform.
    :type gcp_conn_id: str
    """
    template_fields = ('project_id', 'location', 'dataproc_job_id')
    ui_color = '#f0eee4'
    def __init__(
        self,
        *,
        project_id: str,
        dataproc_job_id: str,
        location: str,
        gcp_conn_id: str = 'google_cloud_default',
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        self.project_id = project_id
        self.gcp_conn_id = gcp_conn_id
        self.dataproc_job_id = dataproc_job_id
        self.location = location
    def poke(self, context: dict) -> bool: