Distributed Kafka Connect with multiple tasks not working on Windows

Working with Data Connectors & Integrations
1

I am running Apache Kafka on my Windows machine with two Kafka-Connect-Workers(Port 8083, 8084) and three partitions(replication of one).
My issue is that I am able to see the fail-over to other Kafka-Connect worker whenever I shutdown one of them but load balancing is not happening because the number of tasks is always ONE.

I am using Official MongoDB-Kafka-Connector as Source(ChangeStream) with tasks.max=6.

I tried updating MongoDB with multiple threads so that it could push more data into Kafka-Connect and may perhaps make Kafka-Connect create more tasks. Even under higher volume of data, tasks count remain one.

API always shows one task: “http://localhost:8083/connectors/mongodb-connector/status” :
Response:

{
	"name":"mongodb-connector",
	"connector": {
		"state":"RUNNING",
		"worker_id":"<ipaddress>:8083"
	}
	"tasks": [
		{
			"id": 0,
			"state": "RUNNING"
			"worker_id": "<ipaddress>:8083"
		}
	],
	"type": "source"
}

Am I missing something here? Why more tasks are not created?