code: def from_api_repr(cls, resource, client):
          
          job_id, config_resource = cls._get_resource_config(resource)
          config = ExtractJobConfig.from_api_repr(config_resource)
          source_config = _helpers._get_sub_prop(
              config_resource, ["extract", "sourceTable"]
          )
          dataset = DatasetReference(
              source_config["projectId"], source_config["datasetId"]
          )
          source = dataset.table(source_config["tableId"])
          destination_uris = _helpers._get_sub_prop(
              config_resource, ["extract", "destinationUris"]
          )
  
          job = cls(job_id, source, destination_uris, client=client, job_config=config)
          job._set_properties(resource)
          return job
docs: Factory:  construct a job given its API representation
  
          .. note:
  
             This method assumes that the project found in the resource matches
             the client's project.
  
          :type resource: dict
          :param resource: dataset job representation returned from the API
  
          :type client: :class:`google.cloud.bigquery.client.Client`
          :param client: Client which holds credentials and project
                         configuration for the dataset.
  
          :rtype: :class:`google.cloud.bigquery.job.ExtractJob`
          :returns: Job parsed from ``resource``.