Apache Airflow version: 1.10.*
BackPort Packages version: 2020.10.29rc1

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/PolideaInternal/airflow/blob/e5307990adb49a5a1c1c88a029940682efee0f9e/airflow/providers/google/cloud/operators/bigquery.py#L2073

However, it would appear that the regex pattern that is attempting to remove the `+` character is not correct as this still remain in `job_id` after `re.sub` is applied.

https://github.com/PolideaInternal/airflow/blob/e5307990adb49a5a1c1c88a029940682efee0f9e/airflow/providers/google/cloud/operators/bigquery.py#L2073

`Invalid job ID "airflow_my_test_dag_v1_test_2020_10_01T00_00_00+00_00_27f69de5cd17a012f3c89d414a70fe64". Job IDs must be alphanumeric (plus underscores and dashes) and must be at most 1024 characters long.
`  

How to reproduce it:

- Create a DAG with the name my-test-dag-v1.
- Run any query against BigQuery using this operator
airflow/providers/google/cloud/operators/bigquery.py
self,
        *,
        dataset_id: Optional[str] = None,
        project_id: Optional[str] = None,
        dataset_reference: Optional[Dict] = None,
        location: Optional[str] = None,
        gcp_conn_id: str = 'google_cloud_default',
        bigquery_conn_id: Optional[str] = None,
        delegate_to: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        if bigquery_conn_id:
            warnings.warn(
                "The bigquery_conn_id parameter has been deprecated. You should pass "
                "the gcp_conn_id parameter.",
                DeprecationWarning,
                stacklevel=3,
            )
            gcp_conn_id = bigquery_conn_id
        self.dataset_id = dataset_id
        self.project_id = project_id
        self.location = location
        self.gcp_conn_id = gcp_conn_id
        self.dataset_reference = dataset_reference if dataset_reference else {}
        self.delegate_to = delegate_to
        self.impersonation_chain = impersonation_chain
        super().__init__(**kwargs)
    def execute(self, context) -> None: