Why become a Google Certified Big Data & Cloud Computing Professional Engineer?

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Why become a Google Certified Big Data & Cloud Computing Professional Engineer
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In the first week of October 2016, Google announced the launch of a certification for those with an inclination in extracting value from Big Data for businesses. Called the Google Certified Professional Data Engineer Program, it targets IT professionals experienced in tuning databases, data pipeline programming, statistical analysis and reporting on business data, demonstrating their competency Cloud Dataflow, Cloud Machine Learning and Big Query; all data technologies from Google.

This certification by Google is well-timed as a Forbes report reveals that 26,000 jobs requiring big data skills have been advertised in 2016 alone by just 3 of the big IT companies, Cisco, IBM and Oracle.

Professional having commensurate technical skills will up the quotient of their proficiency to assist companies that desire to improve their business with the use of Big Data. A Google Professional – Data Engineer certification flags you off as the skilled person for companies to acquire to manage their data challenges and extract value from their business data.

Google’s Rochana Golani, Head of Curriculum and Certification identifies the role of a data engineer to be pivotal in companies modernizing their methodology of decision making with the use of Big Data. She observes that progressively business decisions are becoming data driven, increasing the demand for professional who can support these decision makers. Google’s certification program for Big Data and Cloud is an answer to the demand for these skills from businesses across industries.

An IT professional, with a Google data engineer certification, will have the ability to assist companies to build statistical models for analyzing data that can help shape their business strategies, in the short and long term. They can also be critical to improving productivity and efficiencies by using the machine learning models to streamline vital processes in the business.

Data Engineers will build, maintain and troubleshoot data processing systems that are secure, reliable and scalable, and this certification establishes a trusted standard of proficiency for the roleRochana Golani

Google has devised a broad Google Cloud Certification Program, under which the data engineer certification program is just one of the many. The certified Data Engineer is expected to be capable of building, trouble-shooting and maintaining the company’s data processing systems in a secure reliable and scalable manner, mirroring the standardized level of proficiency that the program intends to establish.

The capabilities of the Certified Professional Data Engineer will include but not be limited to:

  • Analyzing Big Data to shape the outcome of business
  • Contribute to decision making by developing and implementing statistical models designed for Big Data
  • Developing models of machine learning to streamline processes
  • Design, implement and maintain data systems for processing and troubleshooting, which are secure, scalable, fault-resistant and efficient

Google has announced 2 more certifications besides the Data Engineer, which are Cloud Architect and G Suite Administrator certifications.

The Google Cloud Administrator Certification will deliver proficiency in professionals for planning and designing cloud architectures along with provisioning and managing cloud infrastructure in a compliant and secure manner. This certification’s standards have yet to be finalized and the initial exams will be its beta phase.

The G Suite Administrator Certification Program will validate a professional’s competency in holistically managing Google’s Cloud Platform Technologies. Candidates will be instructed and educated in administering users, tracking, reporting, and managing the security of data on the cloud domain.

For the Data Engineer Certification Program, IT professionals with experience on hands-on working on Google’s Cloud Platform will be the appropriate candidates. There is a certification guide prepared by Google that lists skills essential for the certification, which can be used by candidates to evaluate if they are ready for the program.

How to become a Google Certified Professional Data Engineer

For starters, you need to have some amount of experience working on Google Cloud Platform Technologies.

Next, to identify the gaps in your experience requirements for this certification, there is available a Google Data Engineer Certification Exam Guide that lists the skills expected of a Data Engineer. Get that, read it, and come up to speed!

After that, if you are sure you’ve got what it takes, sign on at Google to be informed of when the Data Engineer Certification beta exams will be launched.

Google Cloud has been seeing immense growth as businesses throng to move their business to the cloud, escalating the demand for Data Engineers exponentially. As if that isn’t enough another exciting motivator to become a Google Certified Professional Data Engineer is the current average salary of US$ 124,000, which is slated to go upwards.

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ProQuotient is a one stop destination for professional certification and course takers who can find relevant information and training options hassle free. We list training institutes, along with their course information, that offer certification and training programs for professionals. We categorize the listings based on the certification/training name and mode of training (classroom and online) so that our visitors can identify and register for courses from a plenty of vendor choices with ease. Information surrounding the subjects from industry experts is an icing on the cake.

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