**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
src_fmt_configs: Optional[dict] = None,
        labels: Optional[Dict] = None,
        encryption_configuration: Optional[Dict] = None,
        location: Optional[str] = None,
        impersonation_chain: Optional[Union[str, Sequence[str]]] = None,
        **kwargs,
    ) -> None:
        super().__init__(**kwargs)
        
        self.bucket = bucket
        self.source_objects = source_objects
        self.schema_object = schema_object
        
        kwargs_passed = any(
            [
                destination_project_dataset_table,
                schema_fields,
                source_format,
                compression,
                skip_leading_rows,
                field_delimiter,
                max_bad_records,
                quote_character,
                allow_quoted_newlines,
                allow_jagged_rows,
                src_fmt_configs,
                labels,
                encryption_configuration,
            ]
        )