Data engineers are currently in high demand and if you are a data engineer, there are certain certifications that can significantly boost your value as a professional.
Certifications establish the holder’s technical knowledge and abilities based on industry- and vendor-specific metrics. They serve as an indicator of particular skills to employers.
Below is a brief list of the most useful data engineer certifications. Look it over and figure out which ones are right for your career.
SAS Certified Big Data Professional
This certification is meant for engineers looking to expand on basic programming abilities by learning how to accumulate and assess data in SAS. The program concentrates on SAS programming abilities; obtaining, altering and working with data; boosting data quality; basic principles of analytics; working Hadoop, Hive, Pig and SAS; and investigating and visualizing information. The certification requires passing two exams.
A minimum of six months of experience in SAS or a similar language is necessary to register.
MapR Certified Hadoop Developer 1.0
This certification indicates the ability to design and create MapReduce programs in Java to fix typical complications with large information sets. The certification exam concentrates on the usage of MapReduce to fix standard data analysis difficulties using the MapReduce API, handling, tracking, and assessing programs and workflows. The exam includes 50 to 60 questions that must be answered in a two-hour session.
IBM Certified Data Engineer – Big Data
This certification is meant for big data engineers who work specifically with data architects and developers to bring an architect’s concept to life. Data engineers apply technologies to fix big data issues and have the capability to create large-scale data systems. They create, maintain, examine and assess big data solutions within companies, offering input on essential hardware and software.
This certification involves a five-section test that consists of 53 multiple-choice questions. IBM suggests taking nine multiday classes to get ready for the certification exam.
Google Professional Data Engineer
This engineer certification verifies the ability to conceptualize, build, launch, secure and track data processing systems. Earning the certification requires passing a two-hour exam that includes multiple-choice and multiple-select questions. Although it does not have prerequisites for registration, the exam must be taken at a Google testing center.
The company does provide an exam guide and instructor-based training.
Amazon Web Services (AWS) Certified Big Data – Specialty
This data certification validates technical abilities in developing and launching AWS services to extract value from digital information. It is meant to confirm the capability to employ core AWS big data services according to fundamental architecture practices, create and maintain big data and utilize tools to automate information analyses.
Qualified applicants ought to have the AWS Certified Cloud Practitioner or current Associate-level certification. Furthermore, applicants ought to have at least five years hands-on experience in an analytics field, a track record in defining and building AWS Big Data services, as well as experience in creating scalable, efficient architecture to handle data.
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