9. Describe your experience with AWS Lambda and its role in data processing.

LSI Keywords: AWS Lambda data processing

AWS Lambda is a serverless compute service that executes functions in response to events. As a Data Engineer, you may leverage Lambda for real-time data processing, data transformations, and event-driven architectures. Share any hands-on experience you have in using Lambda for data processing tasks.

10. What is the significance of Amazon Kinesis in big data analytics?

LSI Keywords: Amazon Kinesis big data analytics

Amazon Kinesis is a suite of services for real-time data streaming and analytics. It enables you to ingest, process, and analyze streaming data at scale. Discuss how Amazon Kinesis can be utilized to handle real-time data and its relevance in big data analytics.

11. How do you manage error handling in AWS Glue ETL jobs?

LSI Keywords: AWS Glue ETL error handling

Error handling in AWS Glue ETL jobs is crucial to ensure data integrity. You can implement error handling through error tables, data validations, and customized error handling scripts to address different types of errors encountered during ETL operations.

12. Share your experience in building data pipelines with AWS Step Functions.

LSI Keywords: AWS Step Functions data pipelines