log4j2 with AWS EMR and Spark

I have a spark application which logs output to my console with this:

logger.info("Hello world")

My problem is, the log output is nowhere to be found after running the spark app in an EMR cluster.
When I create a cluster and submit a spark job, I specify the LogUri (S3 bucket) but I get nothing.

I submit my spark job with: https://docs.aws.amazon.com/aws-sdk-php/v3/api/api-elasticmapreduce-2009-03-31.html#runjobflow

stderr for the spark job shows

SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/usr/lib/hadoop/lib/slf4j-log4j12-1.7.10.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/usr/lib/spark/jars/slf4j-log4j12-1.7.16.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
ERROR StatusLogger Log4j2 could not find a logging implementation. Please add log4j-core to the classpath. Using SimpleLogger to log to the console...
20/03/07 19:20:39 INFO ShutdownHookManager: Shutdown hook called
20/03/07 19:20:39 INFO ShutdownHookManager: Deleting directory /mnt/tmp/spark-xxxxxxxx
Command exiting with ret '0'

How do I solve this?
Attached is my log4j2.properties file (renamed for uploading to this discussion)

Edited by: ErickN on Mar 7, 2020 12:02 PM