Azure Data Engineer Roadmap in 2025

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. They also work with other Azure technologies, such as Azure Functions, Azure Kubernetes Service, and Azure DevOps, to build, deploy, and manage data pipelines and data-driven applications.

In addition to their technical skills, Azure Data Engineers need to have strong problem-solving, communication, and collaboration skills, as they often work with a diverse team of data scientists, data analysts, and other stakeholders to design and implement data solutions that meet business requirements.

By 2028, the number of jobs involving data will rise by 12%, according to the Bureau of Labor Statistics. More than 546,200 new roles related to big data will result from this. The most sought-after jobs as a professor by the end of 2022 will be those as an Azure data engineer.

Here, I’ve shared the Azure Data Engineering roadmap that will help you become a Microsoft-certified Data Engineer professional. Let’s get right into this article.

Who is an Azure Data Engineer?

An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization. They work with data architects and data scientists to help design, build, maintain, and troubleshoot data pipelines that move data from its source to the appropriate storage location, and make it available for analysis and reporting

Azure Data Engineers should have strong experience in developing and maintaining data pipelines, data lakes, and data warehouses, as well as a strong understanding of data modeling and ETL (extract, transform, load) processes. They should also be proficient in programming languages such as Python, SQL, and Scala, and be familiar with big data technologies such as HDFS, Spark, and Hive.

In addition to technical skills, Azure Data Engineers should have strong problem-solving and communication skills, as they will often work with cross-functional teams and will be responsible for translating the needs of data scientists and data analysts into technical solutions. They should also be comfortable working with a variety of data sources and types and be able to design and implement data pipelines that can handle structured, semi-structured, and unstructured data.

Overall, the role of an Azure Data Engineer is crucial for organizations that rely on data to drive business decisions, as they are responsible for ensuring that data is correctly collected, stored, and made available for analysis and reporting.

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Related Post : What is Azure Data Factory?

Why Choose Azure Data Engineer?

There are several reasons why organizations may choose to hire an Azure Data Engineer or why an individual may choose to pursue a career as an Azure Data Engineer:

High demand: As organizations increasingly rely on data to drive business decisions, there is a high demand for professionals who are skilled in designing and implementing data management solutions. According to Microsoft, demand for Azure Data Engineers has increased by over 100% in the past year.

Strong earnings potential: Azure Data Engineers are in high demand, which often translates into strong earning potential. According to Glassdoor, the median salary for an Azure Data Engineer in the United States is $120,000 per year.

Career growth opportunities: The role of an Azure Data Engineer provides opportunities for career growth, as individuals can advance to positions such as Data Architect or Data Scientist.

Azure is a leading cloud platform: Azure is a leading cloud platform, with a growing number of organizations using it to store and manage data. As an Azure Data Engineer, you will have the opportunity to work with the latest technologies and gain valuable experience that is in high demand in the job market.

Flexibility: Azure Data Engineers can work in a variety of industries, giving them the opportunity to choose a career path that aligns with their interests and goals. They can also work in a variety of roles, including full-time, contract, or freelance positions.

Overall, becoming an Azure Data Engineer can provide individuals with a rewarding career path that offers strong earning potential, career growth opportunities, and the chance to work with the latest technologies in a flexible and dynamic environment.

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Azure Data Engineer Roadmap?

Aspired to build your career as an Azure data engineer? Follow this definite career roadmap to become an Azure data engineer.

Obtain a bachelor’s degree in a related field: While it is not always required, many employers prefer to hire candidates who have a bachelor’s degree in a field such as computer science, information technology, or data science. A degree program can provide individuals with a strong foundation in programming languages, data management, and analytics.

Gain experience with Azure data services: To become an Azure Data Engineer, it is important to have experience working with Azure data services such as Azure Synapse Analytics (formerly SQL Data Warehouse), Azure Data Lake, and Azure Databricks. Individuals can gain this experience through internships, projects, or by working on personal projects.

Learn programming languages: Azure Data Engineers should have a strong understanding of programming languages such as Python, SQL, and Scala. They should be able to use these languages to develop and maintain data pipelines, data lakes, and data warehouses.

Obtain relevant certificate: While not required, it can help individuals stand out in the job market and demonstrate their knowledge and skills.

Stay up to date with industry trends: The field of data engineering is constantly evolving, so it is important for Azure Data Engineers to stay up to date with industry trends and new technologies. This can be achieved through continuing education courses, attending conferences, and reading industry publications.

Overall, becoming an Azure Data Engineer requires a combination of education, experience, and relevant skills. Individuals who are interested in pursuing a career as an Azure Data Engineer should consider obtaining a bachelor’s degree in a related field, gaining experience with Azure data services, learning programming languages, obtaining relevant certificate, and staying up to date with industry trends.

Skills Required for Azure Data Engineer

The following skills are required to become a successful Azure Data Engineer.

• Programming and Scripting Languages
• Data Pipeline Development
• Cloud Platform Skills
• Data Integration and ETL Tools
• Data Security and Compliance 
• Data Quality and Testing
• Collaboration and Communication Skills
• Database Administration Skills
• Continuous Learning and Adaptation
• Problem-solving and Critical Thinking

 Learn more about the skills here Important Azure Data Engineer Skills in 2024

Azure Data Engineer Roles and Responsibilities

Azure Cloud Engineers play a crucial role in designing, deploying, and managing cloud services on the Microsoft Azure platform. They ensure that cloud infrastructure and applications are optimized for performance, scalability, and security. Also responsible for the below tasks, such as 

• Data Modeling
• Data quality assurance
• Data storage and management
• Database security
• Machine learning
• ETL process optimization
• Building and maintaining data infrastructure
• Data warehouse
• Develop and maintain innovative Azure solutions
• Doing exploratory data analysis
• Managing and developing data processing

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The Path Towards Becoming an Azure Data Engineer

Here are several steps you can take to become an Azure Data Engineer:

1.Understanding SQL and Python :Gain experience working with data engineering concepts and technologies. This could involve working on personal projects or internships, or completing online courses or a degree in a related field such as computer science or data science.

Become proficient in programming languages such as Python and SQL. These are commonly used in data engineering and are likely to be covered on the DP-203 exam.

2. Gain hands-on experience in Azure Data Services: This could involve creating data pipelines, working with data lakes and data warehouses, and using HDInsight, Databricks, and Stream Analytics.

3. Earn Azure Data Engineer Associate certificate: To earn it, you will need to pass the Azure Data Engineer DP-203 exam, which tests your skills and knowledge in data engineering on Microsoft Azure.

4. Stay Up to date with Technology : Continue learning and stay up-to-date on the latest data engineering technologies and best practices. This could involve taking additional exams, attending conferences and meetups, and staying current with industry news and trends.

Overall, becoming an Azure Data Engineer requires a combination of technical skills and hands-on experience. By gaining experience and knowledge in data engineering concepts and technologies, and becoming proficient in using Azure data services, you can position yourself to pursue a career as an Azure Data Engineer.

Azure Data Engineer Salary

Azure Data Engineer Salary in the USA

According to Glassdoor , the salary depends on experience

 A professional with 6 to 9 years of experience can expect to make an average salary of up to $203K per year.

Azure Data Engineer Exam Details

To become an Azure Data Engineer, you will need to pass the Microsoft Azure Data Engineer DP-203 Certification exam. This exam covers the following topics such as data processing solutions using Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks. This exam measures your ability to design and implement data management, data processing, and data security solutions using Azure data services.

There are no specific prerequisites for taking the DP-203 exam, but it is recommended that you have some experience working with data engineering concepts and technologies.

The exam cost is $165 USD. The exam consists of multiple-choice and scenario-based questions, and you will have 120 minutes to complete it. The exam is available in English, Japanese, Chinese (Simplified), and Korean. You can register for the exam through Pearson VUE, the official test delivery partner for Microsoft.

You can find more information about the exam and the recommended skills and knowledge on the Microsoft Azure website.

You can also refer to the exam guide and the relevant documentation for the Azure data services you will be working with.

Why should companies hire Azure Data Engineers?

There are several reasons why companies should consider hiring Azure Data Engineers:

To build and maintain data pipelines: Azure Data Engineers are skilled in designing and implementing data pipelines that move data from their source to the appropriate storage location and make it available for analysis and reporting.

To improve data management: Azure Data Engineers can help organizations improve their data management by designing and implementing solutions that ensure the integrity, security, and privacy of data.

To make data-driven decisions: Azure Data Engineers can help organizations make data-driven decisions by making data available for analysis and reporting, and by helping to design and implement data models that can be used for predictive analytics.

To increase efficiency: Azure Data Engineers can help organizations increase efficiency by automating data processes and by designing and implementing solutions that allow for real-time data analysis.

To stay competitive: In today’s data-driven economy, it is important for organizations to have access to high-quality data that can be used to make informed decisions. By hiring Azure Data Engineers, companies can ensure that they have the necessary skills and expertise to manage and analyze their data effectively.

Overall, hiring Azure Data Engineers can help companies build and maintain data pipelines, improve data management, make data-driven decisions, increase efficiency, and stay competitive in their industry.

Get the updated Azure Data Engineering Interview Questions to prepare for the Data Engineering role.

Conclusion

In conclusion, the role of an Azure Data Engineer is crucial for organizations that rely on data to drive business decisions. By hiring skilled professionals who are proficient in Azure data services, companies can ensure that their data is correctly collected, stored, and made available for analysis and reporting.