Professional Data Engineers enable 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.Lee mas.
Las técnicas y herramientas cubiertas en Professional Data Engineer son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Arquitecto de datos.
