The technology industry is undergoing a big shift towards cloud computing and the way people run their businesses and organisations is shifting. The demand for trained cloud professionals is at an all-time high, and employers around the world are still searching for candidates with the highly reputed credential of Microsoft Azure. Data is the greatest superpower of the moment. Companies can help drive informed decisions by gathering the right and relevant data. In addition, the proper use of data could help customer service improvements. This has been one of the reasons for data scientists to unexpectedly raise their demands. No one, however, points out the importance of a computer engineer to data scientists in the midst of noise.


  1. The number of work openings for Azure data engineers is gradually growing. So, on the Azure site, you can automatically recognise all the basic skills for data engineers. For any data engineer, regardless of the cloud platform, the basic skills are ideal. For data engineers, here are some of the popular foundation-level abilities.
  2. Applicants who want to become an Azure data engineer should be mindful of the evolving data environment. The evolution of data systems and their impact on data practitioners should be known to them.
  3. The discrepancies between on-premises and cloud data solutions should be understood by candidates. In addition, it is also favorable to provide a good understanding of business use cases for cloud technology.
  4. Candidates should have a clear understanding of the nature of the job and the duties associated with the position. Candidates should also provide a comprehensive knowledge of the facilities of Azure.
  5. Candidates will need to specialise in role-specific skills to obtain promising Azure Computer Engineer work. The role-specific abilities clearly emphasise the important skills and knowledge a data engineer requires to perform his duties.
  6. Candidates should have a strong understanding of algorithms and the structure of data.
  7. In order to understand the database and the underlying structures, they should learn SQL.
  8. Aspiring data engineering candidates should also note that the majority of data storage and processing tools use programming languages. For data engineers, therefore, detailed awareness of programming languages such as Python, Java, or Scala is mandatory.
  9. Applicants seeking employment in Azure data engineering should also have an understanding of big data tools like Hadoop.


Two different examinations aimed at testing the different capabilities of Azure data engineers are part of the certification path. The two certification exams for Azure data engineers are DP-200 and DP-201.


DP-200 is known as the Azure Data Solution Implementation, and DP-201 is known as the Azure Data Solution Designer. Both of these exams are ideal for data engineers interested in data management, monitoring, security, and privacy design and implementation. The qualification tests also assess applicants' ability to use the full stack of Azure data services to meet business requirements. Applicants who want to become an Azure data engineer should remember that for them, DP-200 and DP-201 are mandatory examinations. There is no clear prerequisite exam for applicants, but before trying for a data engineering career, applicants should have promising fluency in SQL syntax as well as programming fundamentals. It is also preferable to have practical experience with candidates in fields such as distributed networks, data pipelines, and database fundamentals. Several sites provide training for the course, one of them being SQL School So, if you are planning of preparing for the course, enroll at the earliest.