**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/hooks/bigquery.py
self,
        dataset_id: Optional[str] = None,
        project_id: Optional[str] = None,
        location: Optional[str] = None,
        dataset_reference: Optional[Dict[str, Any]] = None,
        exists_ok: bool = True,
    ) -> None:
        """
        Create a new empty dataset:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/insert
        :param project_id: The name of the project where we want to create
            an empty a dataset. Don't need to provide, if projectId in dataset_reference.
        :type project_id: str
        :param dataset_id: The id of dataset. Don't need to provide, if datasetId in dataset_reference.
        :type dataset_id: str
        :param location: (Optional) The geographic location where the dataset should reside.
            There is no default value but the dataset will be created in US if nothing is provided.
        :type location: str
        :param dataset_reference: Dataset reference that could be provided with request body. More info:
            https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets#resource
        :type dataset_reference: dict
        :param exists_ok: If ``True``, ignore "already exists" errors when creating the DATASET.
        :type exists_ok: bool
        """
        dataset_reference = dataset_reference or {"datasetReference": {}}