**Apache Airflow version**: 1.10.*
**BackPort Packages version**: 2020.10.5rc1

**What happened**:

`BigQueryInsertJobOperator` tries to start a BigQuery job by specifying a job_id which is a combination of `dag_id`, `task_id`, `execution_date` and an additional `uniqueness_suffix`.

https://github.com/apache/airflow/blob/master/airflow/providers/google/cloud/operators/bigquery.py#L2072

However, because BigQuery only accepts alphanumeric (in additon to dashes and underscore) characters then, if a DagID contains a version number whcih includes a `.` character then this will cause the task to fail.

https://cloud.google.com/bigquery/docs/running-jobs#generate-jobid

**How to reproduce it**:
Create a DAG with the name `my-dag-v1.0`.
airflow/providers/google/cloud/operators/bigquery.py
bq_hook = BigQueryHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            impersonation_chain=self.impersonation_chain,
        )
        return bq_hook.get_dataset_tables(
            dataset_id=self.dataset_id,
            project_id=self.project_id,
            max_results=self.max_results,
        )
class BigQueryPatchDatasetOperator(BaseOperator):
    """
    This operator is used to patch dataset for your Project in BigQuery.
    It only replaces fields that are provided in the submitted dataset resource.
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryPatchDatasetOperator`
    :param dataset_id: The id of dataset. Don't need to provide,
        if datasetId in dataset_reference.
    :type dataset_id: str
    :param dataset_resource: Dataset resource that will be provided with request body.
        https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource