title: Not clear where to add --conf spark.jars.packages=org.apache.spark:spark-avro_2.11:2.4.4 in aws cloudformation yaml template
body: <p>I have created glue job for converting avro files into parquet. For that I am importing </p>
  
  <pre><code>--conf spark.jars.packages=org.apache.spark:spark-avro_2.11:2.4.4 
  </code></pre>
  
  <p>in yaml file. But still job is failing as dataframes are not getting created . 
  The following error is shown : AnalysisException('Failed to find data source: org.apache.spark.sql.avro. Avro is built-in but external data source module since Spark 2.4.')</p>
  
  <p>My yml template is as follows: </p>
  
  <pre><code> DefaultArguments:
      '--job-language': 'python'
      '--job-bookmark-option': 'job-bookmark-disable'
      '--enable-metrics': ''
      '--conf': 'spark.executor.memoryOverhead=1g --conf spark.maxRemoteBlockSizeFetchToMem=2g --conf spark.jars.packages=org.apache.spark:spark-avro_2.11:2.4.4'
      '--JOB_NAME': !If [IsPythonShell, !Ref GlueJobName, !Ref "AWS::NoValue"]
  </code></pre>
  
  <p>I am unclear where i am going wrong. My guess is i am putting the conf package at wrong place.</p>
  
  <p>Please help.</p>