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,
        *,
        table: str,
        metrics_thresholds: dict,
        date_filter_column: str = 'ds',
        days_back: SupportsAbs[int] = -7,
        gcp_conn_id: str = 'google_cloud_default',
        bigquery_conn_id: Optional[str] = None,
        use_legacy_sql: bool = True,
        location: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        super().__init__(
            table=table,
            metrics_thresholds=metrics_thresholds,
            date_filter_column=date_filter_column,
            days_back=days_back,
            **kwargs,
        )
        if bigquery_conn_id:
            warnings.warn(_DEPRECATION_MSG, DeprecationWarning, stacklevel=3)
            gcp_conn_id = bigquery_conn_id
        self.gcp_conn_id = gcp_conn_id
        self.use_legacy_sql = use_legacy_sql
        self.location = location
        self.impersonation_chain = impersonation_chain
    def get_db_hook(self) -> BigQueryHook: