**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.create_empty_table(
            table_resource=table.to_api_repr(), project_id=project_id, location=location, exists_ok=True
        )
        self.log.info('External table created successfully: %s', external_project_dataset_table)
    @GoogleBaseHook.fallback_to_default_project_id
    def update_table(
        self,
        table_resource: Dict[str, Any],
        fields: Optional[List[str]] = None,
        dataset_id: Optional[str] = None,
        table_id: Optional[str] = None,
        project_id: Optional[str] = None,
    ) -> Dict[str, Any]:
        """
        Change some fields of a table.
        Use ``fields`` to specify which fields to update. At least one field
        must be provided. If a field is listed in ``fields`` and is ``None``
        in ``table``, the field value will be deleted.
        If ``table.etag`` is not ``None``, the update will only succeed if
        the table on the server has the same ETag. Thus reading a table with
        ``get_table``, changing its fields, and then passing it to
        ``update_table`` will ensure that the changes will only be saved if
        no modifications to the table occurred since the read.
        :param project_id: The project to create the table into.
        :type project_id: str
        :param dataset_id: The dataset to create the table into.
        :type dataset_id: str
        :param table_id: The Name of the table to be created.
        :type table_id: str
        :param table_resource: Table resource as described in documentation: