Data engineering is one of the most sought-after skills in the job market. According to a 2019 report, there was an 88% year-over-year growth in job postings for data engineers, which was the highest growth rate among all technology jobs.
If you want to become a data engineer, then you’ll have to decide which technologies to learn because it’s impossible to be an expert in everything in such a broad field. Microsoft has been a data technology leader for many years, but is it still a top contender? Absolutely. Microsoft has moved very aggressively into the cloud with its Azure services. It has the second-highest market share among cloud providers, and it is growing at nearly twice the rate of Amazon Web Services.
Furthermore, Microsoft is so focused on Azure and its other cloud offerings that it is discontinuing all of its certification exams for Windows Server and SQL Server on June 30, 2020. This is a clear sign that the importance of on-premises technology is rapidly declining.
So what does an Azure data engineer do? Here’s what Microsoft says:
“Azure data engineers are responsible for data-related implementation tasks that include provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.”
Are you convinced that Azure data engineering is a hot field worth pursuing? Then you can jump right into one of Cloud Academy’s two learning paths: Implementing an Azure Data Solution and Designing an Azure Data Solution. These learning paths combine the theory, technical knowledge, and hands-on practice that you’ll need to earn that certification and feel confident working in a live production environment:

If you still need some additional convincing, then let’s dive right into the specifics of how to become a Microsoft Certified Azure Data

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