**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
"""
        Executes a BigQuery SQL query. See here:
        https://cloud.google.com/bigquery/docs/reference/v2/jobs
        For more details about the configuration parameter.
        :param configuration: The configuration parameter maps directly to
            BigQuery's configuration field in the job object. See
            https://cloud.google.com/bigquery/docs/reference/v2/jobs for
            details.
        """
        warnings.warn("This method is deprecated. Please use `BigQueryHook.insert_job`", DeprecationWarning)
        job = self.insert_job(configuration=configuration, project_id=self.project_id)
        self.running_job_id = job.job_id
        return job.job_id
    def run_load(  # 
        self,
        destination_project_dataset_table: str,
        source_uris: List,
        schema_fields: Optional[List] = None,
        source_format: str = 'CSV',
        create_disposition: str = 'CREATE_IF_NEEDED',
        skip_leading_rows: int = 0,
        write_disposition: str = 'WRITE_EMPTY',
        field_delimiter: str = ',',
        max_bad_records: int = 0,