Cloud Data Engineer Course: The role of a Cloud Data Engineer is becoming increasingly sought after in the business world. Explore everything you need to know about this profession that combines Cloud Computing and data engineering: overview, salary, job opportunities, and training programs.
With the rise of Cloud Computing, data management practices have evolved significantly. They involve new techniques and the use of different tools for planning, architecture, migration, monitoring, and managing enterprise applications and data in the Cloud.
A Cloud Data Engineer is an expert in Cloud systems, deploying and managing applications in the Cloud. Their mission is to implement best practices throughout the organization. This profession is sometimes also referred to as a “Cloud Engineer.”
However, the term Cloud Data Engineer can also refer to a Data Engineer who specializes in Cloud Computing. Indeed, many public Cloud services are dedicated to data engineering, offering numerous advantages when mastered.
As Cloud adoption in the business world continues to grow, Cloud Data Engineers are now in high demand, and the salaries offered reflect this demand. If you are looking for a Cloud Data Engineer Course, read on…
Cloud Data Engineer Course: What is Cloud Data Engineering?
Cloud Data Engineering is the process of retrieving, cleaning, transforming, and storing data in the Cloud. The goal is to manage the continuous flow of data within the organization and meet the reporting needs of decision-makers.
Cloud platforms like Snowflake, Amazon Web Services, Google Cloud Platform, and Microsoft Azure enable the modernization of the data pipeline. By migrating the Data Pipeline to a Cloud-based architecture, it’s possible to leverage the flexibility and agility these platforms offer.
As a result, the data infrastructure can be better positioned to keep up with the pace of the business. In an era where many traditional IT functions are offered as services by Cloud providers, replicating an on-premise architecture in the Cloud has never been easier.
What is a Cloud Data Engineer ?
The Cloud Data Engineer has numerous responsibilities. They are responsible for migrating enterprise applications and their data to the Cloud and designing and deploying new applications directly in the Cloud.
Their role also includes identifying best practices for monitoring and managing Cloud services and promoting them throughout the organization. They research and implement Cloud services to support applications in the Cloud.
Furthermore, this expert monitors the performance of Cloud applications and resolves any issues that may arise. They must also identify and implement cost-saving strategies in the Cloud.
In the pursuit of cost reduction and increased efficiency, the Cloud Data Engineer also automates services and tasks on Cloud systems. They must also formulate a recovery plan and execute it in case of Cloud failure or unavailability.
As a Data Engineer, this professional is responsible for creating a data pipeline to automate data collection and preparation. This allows Data Scientists and Data Analysts to access the data they need directly.
The difference from a traditional Data Engineer is that the Cloud Data Engineer leverages Cloud Computing services to accomplish their tasks rather than using more traditional on-premise tools.
Salary and job offers - Why you should attend a Cloud Data Engineer Course
Cloud Data Engineers are in high demand, and this trend is expected to continue in the coming years with the increasing adoption of the Cloud. On average, in the United States, a Cloud Data Engineer earns more than $120,000 per year, according to ZipRecruiter.
The salary range varies from $69,000 to $173,500 per year. In France, according to Talent.fr, a Cloud Data Engineer earns €47,500 per year.
Cloud Data Engineer certifications
In order to enable Cloud Data Engineers to enhance their skills and take control of the tools, numerous certification programs have emerged. These certifications allow individuals to stand out in the eyes of employers.
Among the most recognized certifications, three from Amazon Web Services are notable: Solutions Architect, DevOps Cloud Engineer, and SysOps Cloud Administrator. On the other hand, Google Cloud Platform offers the Professional Cloud Architect certification.
The third major Cloud player, Microsoft Azure, offers a Solutions Architect certification. Additionally, employers also value certifications like CompTIA Cloud+ and Cisco CCNA.
How can I train to become a Cloud Data Engineer?
The role of a Cloud Data Engineer is in high demand in the business world. However, this profession requires technical skills that you can acquire through DataScientest.
Our Data Engineer training program, in partnership with École des Mines ParisTech, allows you to learn how to design tools and solutions for processing and analyzing large volumes of data.
The various modules in the program cover Python programming, databases like ElasticSearch, MongoDB, and Neo4J, CI/CD with Git and GitHub, Big Data, Data Science, and automation and deployment with Docker and Kubernetes. At the end of the program, you will be capable of understanding an organization’s storage architecture needs, building data acquisition and automatic data processing pipelines, deploying Machine Learning models on production servers, and defining an overall data storage strategy. In short, you’ll be well-prepared to become a Data Engineer.
This training program provides a certificate issued by MINES Paris Executive Education, and it also includes the exam for obtaining the Microsoft AZ-900 certification to become a Microsoft Certified Azure Fundamentals. This means you’ll have expertise in both Data Engineering and Cloud Computing.
To further enhance your Cloud Computing mastery, you can also take our expert-level Microsoft Azure or Amazon Web Services (AWS) courses.
The Azure training program allows you to obtain the AZ-104 certification as a Microsoft Azure Administrator and the DP-203 engineering certification. On the other hand, the AWS training program teaches you how to navigate Amazon’s Cloud, including data migration.
You can take our training programs in an intensive Bootcamp mode or through Continuing Education.
All our programs are delivered online through a blended learning approach, combining online learning on a guided platform with masterclasses.
Now, you have a comprehensive understanding of the Cloud Data Engineer profession. For more information on the subject, you can explore our article about DevOps.