How to Become Azure Data engineer?

The well-known cloud computing platform Azure is used by companies and organizations worldwide. It is a great option for businesses that need to manage huge volumes of data because it offers a wide range of data storage, analytics, and administration services. An Azure Data engineer is one of the most sought-after jobs on this platform. With this article from Education Nest, let’s explore the qualities and pathway to becoming an able and experienced Azure Data engineer.

What is an Azure Data engineer?

An Azure Data engineer is a person who plans, executes, and manages data solutions utilizing Azure data services. Their main duty is to guarantee that data is accessible, consistent, and safe throughout the firm. As an Azure Data engineer, you must thoroughly understand Azure data services, data integration, data transformation, data automation, and data storage. Also, you’ll need to be familiar with programming languages like Python and SQL.

Steps to Become an Azure Data engineer:

Step 1: Study the basics of data engineering.

A firm grasp of data engineering concepts is the first step in becoming an Azure Data engineer. This covers data warehousing, database administration, modeling and design, and ETL (Extract, Transform, Load) procedures. You can learn this information from books, blogs, tutorials, and online courses.

Step 2: Master Azure Data Services and Tools

To advance your knowledge of Azure, you should become acquainted with Azure data services and tools such as Azure Data Factory, Azure HDInsight, Azure Stream Analytics, Azure Databricks, and Azure Cosmos DB. Additionally, it would help if you had a good understanding of data ingestion, transformation, and loading techniques, which can be learned through Azure‘s official documentation, tutorials, and hands-on labs.

Step 3: Learn Programming Languages and Tools

To become an efficient Azure Data engineer, you must gather a promising understanding of programming languages such as Python, SQL, and PowerShell. Ideally, you can write and optimize queries, scripts, and code to automate data processing tasks. Familiarity with tools such as Visual Studio Code and Azure DevOps is also essential.

Step 4: Gain Experience

To become an Azure Data engineer, one needs good hands-on experience working with data engineering projects. This can include skills such as designing, developing, and deploying data pipelines, databases, and solutions. As a budding engineer, you can easily gather experience by working on real-life projects or participating in hackathons and open-source projects.

Step 5: Obtain Certifications

Obtaining industry-recognized certifications is an excellent way to demonstrate knowledge and skills as an Azure data engineer. Microsoft Certifications cover technical topics from Azure to AI, data analytics, and cybersecurity. Microsoft has also launched initiatives to help people access certification exams at a significantly discounted. Obtaining certifications adds credibility, keeps individuals up-to-date on new knowledge and industry trends, and provides a designation and badge to wear proudly.

Step 6: Stay Updated with the Latest Trends and Technologies

It is essential to stay updated with the latest trends and technologies in the field. This includes integrating emerging data technologies, new Azure data services, and best practices for developing secure, scalable, high-performing data solutions.

Step 7: Networking and Collaboration

Networking and collaboration with peers, experts, and professionals in the industry can help you stay up-to-date with the latest trends and technologies. Joining online communities and forums and attending to novel industry events and conferences can help you network with like-minded individuals and experts.

Conclusion

Becoming an Azure Data engineer requires knowledge and skills in data engineering fundamentals, Azure data services and tools, programming languages, and certification. Hands-on experience, staying updated with the latest trends and technologies, networking, and collaboration are critical to succeed in this role. Following these steps, you can build an Azure Data engineer career and help organizations manage and process data effectively.