**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
entity_type="view",
            entity_id={'projectId': view_project, 'datasetId': view_dataset, 'tableId': view_table},
        )
        dataset = self.get_dataset(project_id=project_id, dataset_id=source_dataset)
        # 
        if view_access not in dataset.access_entries:
            self.log.info(
                'Granting table %s:%s.%s authorized view access to %s:%s dataset.',
                view_project,
                view_dataset,
                view_table,
                project_id,
                source_dataset,
            )
            dataset.access_entries += [view_access]
            dataset = self.update_dataset(
                fields=["access"], dataset_resource=dataset.to_api_repr(), project_id=project_id
            )
        else:
            self.log.info(
                'Table %s:%s.%s already has authorized view access to %s:%s dataset.',
                view_project,
                view_dataset,
                view_table,
                project_id,
                source_dataset,
            )
        return dataset.to_api_repr()
    @GoogleBaseHook.fallback_to_default_project_id
    def run_table_upsert(