How to export BQ tables to GCS in JSON format without change in encoding

I exported a BQ table to GCS in JSON format using python. The export was successful, however, when I download the JSON files from GCS, I noticed that special caracters have changed. For example,

Shirt & Trouser Presses

in BQ has changed to

Shirt \u0026 Trouser Presses

in GCS.

Is there a way to to ensure that the encoding does not change while exporting from BQ to GCS in JSON format?

Here is the code snippet I use:

dataset_ref = bigquery.DatasetReference(BQ_PROJECT, dataset_id)
        client = bigquery.Client(project=BQ_PROJECT)
        tables = client.list_tables(dataset_id)
        job_config = bigquery.job.ExtractJobConfig()
        job_config.destination_format = bigquery.DestinationFormat.NEWLINE_DELIMITED_JSON
        for table in tables:
            if table.table_type == "TABLE":
                table_id = table.table_id
                destination_blob = table_id
                table_ref = dataset_ref.table(table_id)
                destination_uri = "gs://{}/{}".format(BUCKET, destination_blob)
    
                extract_job = client.extract_table(
                    table_ref,
                    destination_uri,
                    job_config=job_config,
                    # Location must match that of the source table.
                    location="EU",
                )  # API request
                extract_job.result()  # Waits for job to complete.

With the help of @johnHanley, I figured out that when I read data from GCS using pandas I get the right encoding back. So "Shirt \u0026 Trouser Presses" will be read as "Shirt & Trouser Presses" using pandas. Hence the problem is solved