**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,
        table_id: str,
        max_results: Optional[int] = None,
        selected_fields: Optional[Union[List[str], str]] = None,
        page_token: Optional[str] = None,
        start_index: Optional[int] = None,
        project_id: Optional[str] = None,
        location: Optional[str] = None,
    ) -> List[Row]:
        """
        List the rows of the table.
        See https://cloud.google.com/bigquery/docs/reference/rest/v2/tabledata/list
        :param dataset_id: the dataset ID of the requested table.
        :param table_id: the table ID of the requested table.
        :param max_results: the maximum results to return.
        :param selected_fields: List of fields to return (comma-separated). If
            unspecified, all fields are returned.
        :param page_token: page token, returned from a previous call,
            identifying the result set.
        :param start_index: zero based index of the starting row to read.
        :param project_id: Project ID for the project which the client acts on behalf of.
        :param location: Default location for job.
        :return: list of rows
        """
        location = location or self.location
        selected_fields = selected_fields or []
        if isinstance(selected_fields, str):
            selected_fields = selected_fields.split(",")