Azure Data Engineering is a specialized field that involves designing, implementing, and maintaining data management systems on the Azure cloud platform. It is a critical aspect of modern businesses that generate massive amounts of data and require efficient ways to store, process, and analyze it. Azure Data Engineering covers a range of tasks, including data modeling, data integration, data storage, and data processing.

You will be responsible for creating and handling scalable data pipelines, assuring data quality, and maximizing data processing performance as an Azure data engineer. You will also work closely with other teams, such as data analysts, data scientists, and software developers, to provide them with the data they need to perform their job functions.

Azure Data Engineering requires technical skills and effective communication and collaboration. You must have a strong data management foundation and specialized skills in Azure cloud computing. Some essential skills for this job include proficiency in SQL and other data query languages, experience with Azure data storage solutions, knowledge of data integration tools, familiarity with data processing frameworks, understanding of data modeling and schema design principles, ability to work with large datasets and perform data analysis, and strong problem-solving and troubleshooting skills.