AWS Glue 5.0 offers performance-optimized Apache Spark 3.5 runtime for data integration at scale.Developers can use Python or Scala with the AWS Glue ETL library for job creation.AWS provides an official AWS Glue Docker image on Amazon ECR Public Gallery for local development.Developing and testing AWS Glue 5.0 jobs locally using a Docker container is demonstrated.AWS Glue 5.0 Docker image includes Apache Spark, various libraries, and connectors.Prerequisites for setting up and configuring AWS Glue Docker container are mentioned.Options like spark-submit, REPL shell (pyspark), pytest, and Visual Studio Code are available for job testing.Differences between AWS Glue 4.0 and 5.0 Docker images are highlighted.Considerations and features not supported when using AWS Glue container images are discussed.The article concludes by emphasizing AWS Glue 5.0 Docker images' flexibility for development and testing.