A 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 |