SchemaParseException when using UnwrapFromMongoDbEnvelope SMT with Avro format

debezium-connector-mongodb-0.7.4-plugin.tar.gz
Confluent Platform 4.0

{
  "name": "mongodb-connector-04",
  "config": {
    "connector.class": "io.debezium.connector.mongodb.MongoDbConnector",
    "mongodb.hosts": "rs0/proxmox01.moffatt.me:27017",
    "mongodb.name": "ubnt",
    "database.whitelist": "ace",
    "collection.whitelist": "ace.device",
    "transforms": "unwrap,changeTopic",
    "transforms.unwrap.type" :"io.debezium.connector.mongodb.transforms.UnwrapFromMongoDbEnvelope",
"transforms.changeTopic.type":"org.apache.kafka.connect.transforms.RegexRouter",
"transforms.changeTopic.regex":"(.*)",
"transforms.changeTopic.replacement":"$1-04"
  }
}

[2018-03-07 17:35:28,076] ERROR WorkerSourceTask{id=mongodb-connector-04-0} Task threw an uncaught and unrecoverable exception (org.apache.kafka.connect.runtime.WorkerTask:172)
org.apache.kafka.connect.errors.DataException: ubnt.ace.device-04
        at io.confluent.connect.avro.AvroConverter.fromConnectData(AvroConverter.java:77)
        at org.apache.kafka.connect.runtime.WorkerSourceTask.sendRecords(WorkerSourceTask.java:220)
        at org.apache.kafka.connect.runtime.WorkerSourceTask.execute(WorkerSourceTask.java:187)
        at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:170)
        at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:214)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.kafka.common.errors.SerializationException: Error serializing Avro message
Caused by: org.apache.avro.SchemaParseException: Can't redefine: io.confluent.connect.avro.ConnectDefault
        at org.apache.avro.Schema$Names.put(Schema.java:1128)
        at org.apache.avro.Schema$NamedSchema.writeNameRef(Schema.java:562)
        at org.apache.avro.Schema$RecordSchema.toJson(Schema.java:690)
        at org.apache.avro.Schema$RecordSchema.fieldsToJson(Schema.java:716)
        at org.apache.avro.Schema$RecordSchema.toJson(Schema.java:701)
        at org.apache.avro.Schema.toString(Schema.java:324)
        at org.apache.avro.Schema.toString(Schema.java:314)
        at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.registerAndGetId(CachedSchemaRegistryClient.java:61)
        at io.confluent.kafka.schemaregistry.client.CachedSchemaRegistryClient.register(CachedSchemaRegistryClient.java:100)
        at io.confluent.kafka.serializers.AbstractKafkaAvroSerializer.serializeImpl(AbstractKafkaAvroSerializer.java:79)
        at io.confluent.connect.avro.AvroConverter$Serializer.serialize(AvroConverter.java:110)
        at io.confluent.connect.avro.AvroConverter.fromConnectData(AvroConverter.java:75)
        at org.apache.kafka.connect.runtime.WorkerSourceTask.sendRecords(WorkerSourceTask.java:220)
        at org.apache.kafka.connect.runtime.WorkerSourceTask.execute(WorkerSourceTask.java:187)
        at org.apache.kafka.connect.runtime.WorkerTask.doRun(WorkerTask.java:170)
        at org.apache.kafka.connect.runtime.WorkerTask.run(WorkerTask.java:214)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:748)