**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
# 
        # 
        # 
        #   
        allowed_schema_update_options = ['ALLOW_FIELD_ADDITION', "ALLOW_FIELD_RELAXATION"]
        if not set(allowed_schema_update_options).issuperset(set(schema_update_options)):
            raise ValueError(
                "{0} contains invalid schema update options. "
                "Please only use one or more of the following "
                "options: {1}".format(schema_update_options, allowed_schema_update_options)
            )
        if schema_update_options:
            if write_disposition not in ["WRITE_APPEND", "WRITE_TRUNCATE"]:
                raise ValueError(
                    "schema_update_options is only "
                    "allowed if write_disposition is "
                    "'WRITE_APPEND' or 'WRITE_TRUNCATE'."
                )
        if destination_dataset_table:
            destination_project, destination_dataset, destination_table = _split_tablename(
                table_input=destination_dataset_table, default_project_id=self.project_id
            )
            destination_dataset_table = {  # 
                'projectId': destination_project,
                'datasetId': destination_dataset,
                'tableId': destination_table,
            }
        if cluster_fields:
            cluster_fields = {'fields': cluster_fields}  # 
        query_param_list = [