**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: str,
        project_id: Optional[str] = None,
        max_results: Optional[int] = None,
        retry: Retry = DEFAULT_RETRY,
    ) -> List[Dict[str, Any]]:
        """
        Get the list of tables for a given dataset.
        For more information, see:
        https://cloud.google.com/bigquery/docs/reference/rest/v2/tables/list
        :param dataset_id: the dataset ID of the requested dataset.
        :type dataset_id: str
        :param project_id: (Optional) the project of the requested dataset. If None,
            self.project_id will be used.
        :type project_id: str
        :param max_results: (Optional) the maximum number of tables to return.
        :type max_results: int
        :param retry: How to retry the RPC.
        :type retry: google.api_core.retry.Retry
        :return: List of tables associated with the dataset.
        """
        self.log.info('Start getting tables list from dataset: %s.%s', project_id, dataset_id)
        tables = self.get_client().list_tables(
            dataset=DatasetReference(project=project_id, dataset_id=dataset_id),
            max_results=max_results,
            retry=retry,
        )
        #