Which tool helps in data transformation jobs in AWS?

AWS Glue is specifically designed for data transformation tasks within the AWS ecosystem. It is a fully managed extract, transform, load (ETL) service that enables users to prepare and transform data for analytics. With AWS Glue, you can create data transformation jobs that allow you to manipulate your data from various sources, cleaning and enriching it as needed, and then loading it into a target data store such as Amazon S3 or a data warehouse like Amazon Redshift.

The service includes features such as automatic schema discovery and a visual interface that simplifies the process of designing ETL workflows. Additionally, AWS Glue supports various programming languages like Python and Scala, giving you flexibility in how you implement your transformations. This makes it particularly suitable for tasks that require ongoing data preparation as part of larger analytics pipelines.

Other options mentioned serve different purposes: AWS Lambda is a serverless computing service for running code in response to events, Amazon EC2 provides resizable compute capacity in the cloud, and Amazon RDS is a managed relational database service. While these services can play a role in data workflows, they are not primarily focused on data transformation jobs in the same way that AWS Glue is.