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☑ Google Cloud
☑ Professional Data Engineer
Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A data engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A data engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
Design data processing systems
Build and Operationalize Data Processing Systems
Operationalize Machine Learning Models
Ensure Solution Quality