Just a couple of years back, the idea of becoming a data engineer and working for an analytics company would not have crossed anyone’s mind. But now, in this day and age, the role of data engineers has started to gain importance. People are interested in such jobs and upskilling to pursue data engineering careers across various cloud platforms, namely AWS, GCP, and Azure. This has been noticed across the globe as there is currently an essential rise in the demand for Google Cloud Platform – Professional Data Engineer (GCP-PDE); more and more people want to join this profession every day.
GCP is one of the largest cloud providers in the world. GCP Data Engineers are highly-valued and in demand at top tech data-centric companies, and it has been reported that demand for them outweighs supply by a factor of 3 to 1.
Who Is a GCP Data Engineer?
A Professional Data Engineer designs systems to gather and navigate data. Data engineers need strong experience with multiple data storage technologies and frameworks to build data pipelines.
A GCP data engineer is responsible for applying data engineering concepts through the Google Cloud Platform. The responsibilities of GCP engineers vary depending on their skills and years of experience. Their duties include but are not limited to application development, resource allocation and maintenance, and cost-effective use of features offered by the primary cloud services.
Becoming a Google Cloud Professional Data Engineer: Why Now Is the Right Time?
If you have been considering getting into cloud computing and becoming a cloud data engineer, now is the time. Cloud computing and data engineering skills are increasingly in demand as more companies are digitizing their solutions to transform how they do business. Google Cloud Professional Data Engineers are currently highly requested for their skills in supporting collecting, converting, and publishing data with a certain level of expertise.
Top companies in the cloud business, such as Azure, AWS, and VMware, are constantly looking for skilled cloud data engineers. Good cloud skills could be your ticket into various companies and, ultimately, a more prosperous life.
Moreover, if you already have a software engineering background, you can easily and quickly become a cloud professional data engineer. The job description of a cloud engineer and a software engineer often overlap. They both have similar required skills with just a slight difference.
Reasons Why Google Professional Data Engineer Certification is Worth Pursuing
Mentioned below are the reasons why getting a Google Professional Data Engineer Certification worth it:
1. Recognition in the Industry
Google Professional Data Engineer Certification is a highly regarded industry credential recognized by organizations worldwide. This certification shows your knowledge and skills to design, build, operationalize, secure, and monitor data processing systems. The certificate validates your technical expertise and can help you gain recognition from your peers and potential employers.
2. Competitive Advantage
In the highly competitive job market, having Google Professional Data Engineer Certification can give you a substantial edge over your competitors. The certification demonstrates that you deeply understand Google Cloud Platform’s data processing capabilities and can design and build scalable data processing systems. Employers are always looking for professionals who can add value to their organization, and having this certification will help you stand out from the crowd.
3. Enhanced Skills
Preparing for the Google Professional Data Engineer Certification exam can help you acquire new skills and improve your existing ones. The certification covers various topics, including data ingestion, processing, transformation, data analysis, visualization, and machine learning. By preparing for the exam, you will be taught how to design and construct data processing systems that are scalable, reliable, and secure.
4. Increased Earning Potential
Professionals with Google Professional Data Engineer Certification are in high demand, and the certification can lead to increased earning potential. Payscale reports that the average wage for a Google Certified Data Engineer is $124,000 per year. Moreover, as the field of data engineering continues to grow, so will the demand for professionals with specialized skills and knowledge.
5. Access to Google Cloud Platform
By preparing for the Google Professional Data Engineer Certification, you will gain access to the Google Cloud Platform, one of the industry’s most widely used cloud platforms. This access can help you gain hands-on experience with the platform, which can be valuable in future data engineering projects. Moreover, the certification can help you gain access to exclusive Google resources and communities, which can help you stay up to date with the latest industry trends and developments.
Conclusion
Google Professional Data Engineer Certification is a valuable credential that can help you enhance your data engineering skills and advance your career. The certification can give you a competitive edge, increase earning potential, and provide hands-on experience with the Google Cloud Platform. By pursuing this certification, you can set yourself apart from your peers and gain recognition from employers worldwide.
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