Redshift External Table - unable to query struct data types using Avro as a format

Hi, I have created an external table in redshift as below:

CREATE EXTERNAL TABLE "someschema"."avro_simple_nested" (
  "actor_id" varchar(200),
  "first_name" varchar(200),
  "last_name" varchar(200),
  "last_update" bigint,
  "version" int,
  "debut_film" struct<
  	"name":varchar(200),
  	"score":int
  >
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
WITH SERDEPROPERTIES (
	'avro.schema.literal'='{"namespace": "example.avro",
 "type": "record",
 "name": "actor",
 "fields": [
        {"name": "actor_id", "type": "string"},
        {"name": "first_name", "type": "string"},
        {"name": "last_name", "type": "string"},
        {"default": 0, "name": "last_update", "type": "long"},
        {"name": "version", "type": "int"},
        {"name": "debut_film", "type": {"type":"record", "name":"debut_film_name",
            "fields": [
                {"name": "name", "type": "string"},
                {"name": "score", "type": "int"}
            ]}}
    ]
}'
)
STORED AS AVRO
LOCATION 's3://....../..../avro-files-simple-nested/'

If I try and query the table by using SELECT * from Table I get: ERROR: Cannot expand query to include unsupported column type for column "debut_film". If I try and query the non struct columns, I am able to see the data. If I check the same data in Athena, it shows fine. The table is shown correctly and the data is as expected. If I query the SVV_EXTERNAL_COLUMNS table, you can see the table definition is correct. debut_film struct<name:varchar(200),score:int> Has anyone else used an external table over avro data and managed to view nested data in redshift? Thanks!