A Cloud Data Engineer should have a background in computer science or a related field, with experience in cloud platforms, big data technologies, programming, and data warehousing.
A Cloud Data Engineer focuses on designing and building data pipelines and architectures, while a Data Scientist concentrates on analyzing and extracting insights from data.
Yes, Cloud Data Engineers can work remotely, leveraging cloud technologies to manage data systems from anywhere.
Best practices include using encryption, managing access controls, regularly auditing data access, and complying with data protection regulations.
Understanding machine learning is increasingly important for Cloud Data Engineers, as it enables them to support data science teams and integrate ML models into data pipelines.