Some of the tasks:

Collecting and storing large amounts of data using services such as Amazon S3, Amazon Kinesis, and Amazon Redshift.

Processing and analyzing data using services such as Amazon EMR, Amazon Athena, and Amazon QuickSight.

Building and deploying machine learning models using services such as Amazon SageMaker, Amazon Comprehend, and Amazon Forecast.

Building and managing data pipelines using services such as AWS Glue, AWS Data Pipeline, and Amazon Kinesis Data Analytics.

Building and deploying real-time streaming applications using services such as Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, and Amazon Kinesis Data Analytics.

Implementing data governance and security best practices using services such as AWS Glue Data Catalog, Amazon Macie, and Amazon S3 Access Points.

Building and deploying applications that use data analytics and visualization using services such as Amazon QuickSight, Amazon Redshift, and Amazon Elasticsearch Service.