The role of an Azure Data Engineer involves designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services. This includes various tasks such as data storage, data processing, data movement, data transformation, and data analysis. The scope of an Azure Data Engineer is broad and includes working with technologies like Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and more.

Here are some steps you can take to grow as a fresher in the field of Azure data engineering:

Learn the Basics:

Start with the fundamentals of data engineering, including databases, data modeling, and data warehousing concepts.
Understand the basics of cloud computing and Azure services.
Master Azure Data Services:

Gain in-depth knowledge of Azure data services, such as Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and others.
Understand how these services work together to form end-to-end data solutions.
Develop Programming Skills:

Learn programming languages commonly used in data engineering, such as SQL, Python, and PowerShell.
Understand how to write and optimize queries for data extraction, transformation, and loading (ETL) processes.
Explore Big Data Technologies:

Familiarize yourself with big data technologies like Apache Hadoop, Apache Spark, and Apache Kafka, as these are often used in conjunction with Azure data services.
Hands-on Experience:

Gain practical experience by working on real-world projects. Consider creating your own projects or contributing to open-source projects.
Certifications:

Pursue relevant certifications, such as the Microsoft Certified: Azure Data Engineer Associate certification. This can validate your skills and knowledge in the field.
Stay Updated:

Keep yourself updated with the latest developments in Azure and data engineering by following blogs, forums, and attending webinars or conferences.
Networking:

Join professional networking platforms and communities related to data engineering and Azure. Connect with professionals in the field, attend meetups, and participate in discussions.
Soft Skills:

Develop soft skills like communication, problem-solving, and teamwork, as these are crucial in any professional setting.
Build a Portfolio:

Create a portfolio showcasing your projects, skills, and certifications. This can be valuable when applying for jobs and internships.
Internships and Entry-Level Positions:

Look for internships or entry-level positions that allow you to gain practical experience and exposure to real-world scenarios.
Remember, continuous learning is key in the fast-evolving field of technology. As you gain experience, consider specializing in specific areas based on your interests and the industry's demands. Networking and staying connected with professionals in the field can also open up opportunities for mentorship and collaboration.