**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/operators/bigquery.py
self.log.info('Deleting: %s', self.deletion_dataset_table)
        hook = BigQueryHook(
            gcp_conn_id=self.gcp_conn_id,
            delegate_to=self.delegate_to,
            location=self.location,
            impersonation_chain=self.impersonation_chain,
        )
        hook.delete_table(table_id=self.deletion_dataset_table, not_found_ok=self.ignore_if_missing)
class BigQueryUpsertTableOperator(BaseOperator):
    """
    Upsert BigQuery table
    .. seealso::
        For more information on how to use this operator, take a look at the guide:
        :ref:`howto/operator:BigQueryUpsertTableOperator`
    :param dataset_id: A dotted
        ``(<project>.|<project>:)<dataset>`` that indicates which dataset
        will be updated. (templated)
    :type dataset_id: str
    :param table_resource: a table resource. see
        https://cloud.google.com/bigquery/docs/reference/v2/tables#resource
    :type table_resource: dict
    :param project_id: The name of the project where we want to update the dataset.
        Don't need to provide, if projectId in dataset_reference.