**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
)
        configuration = {
            'copy': {
                'createDisposition': create_disposition,
                'writeDisposition': write_disposition,
                'sourceTables': source_project_dataset_tables_fixup,
                'destinationTable': {
                    'projectId': destination_project,
                    'datasetId': destination_dataset,
                    'tableId': destination_table,
                },
            }
        }
        if labels:
            configuration['labels'] = labels
        if encryption_configuration:
            configuration["copy"]["destinationEncryptionConfiguration"] = encryption_configuration
        job = self.insert_job(configuration=configuration, project_id=self.project_id)
        self.running_job_id = job.job_id
        return job.job_id
    def run_extract(
        self,
        source_project_dataset_table: str,
        destination_cloud_storage_uris: str,
        compression: str = 'NONE',
        export_format: str = 'CSV',
        field_delimiter: str = ',',
        print_header: bool = True,
        labels: Optional[Dict] = None,
    ) -> str: