**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,
        configuration: Dict,
        job_id: Optional[str] = None,
        project_id: Optional[str] = None,
        location: Optional[str] = None,
    ) -> BigQueryJob:
        """
        Executes a BigQuery job. Waits for the job to complete and returns job id.
        See here:
        https://cloud.google.com/bigquery/docs/reference/v2/jobs
        :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.
        :type configuration: Dict[str, Any]
        :param job_id: The ID of the job. The ID must contain only letters (a-z, A-Z),
            numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024
            characters. If not provided then uuid will be generated.
        :type job_id: str
        :param project_id: Google Cloud Project where the job is running
        :type project_id: str