What are the security considerations in Data Engineering?

Security in Data Engineering covers all touchpoints in the flow of data, from collection to storage, through processing and transmission. Encryption in-transit and at-rest should be enforced, controls set to prevent unauthorized access, and regular auditing of data use should be performed. Similarly important security topics are data masking, anonymization, and regulatory requirements like GDPR. Continuous monitoring systems assure detection and response in case of any suspected breach or deviation that may present harm to the security posture of the data infrastructure.