An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft Azure's cloud services. They specialize in constructing data platforms, implementing data storage solutions, and ensuring the availability, reliability, and security of data pipelines.

Key Responsibilities of an Azure Data Engineer:

Data Architecture Design: Developing and designing data architectures, including data warehouses, data lakes, and data pipelines using Azure services like Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, etc.

Data Integration: Creating and managing data pipelines to extract, transform, and load (ETL) data from various sources into Azure data storage solutions. Utilizing Azure Data Factory, Azure Databricks, or other services for data integration.

Data Modeling and Transformation: Designing data models and implementing transformations to ensure data is structured effectively for analysis and reporting. Employing tools like Azure Data Factory, SQL Server Integration Services (SSIS), or Azure Databricks.

Data Security and Compliance: Ensuring data security measures, encryption, access control, and compliance with data regulations (such as GDPR or HIPAA) within Azure services.

Performance Tuning and Optimization: Monitoring and optimizing data solutions for performance, scalability, and cost efficiency. Utilizing Azure Monitor and other tools for performance tuning.

Collaboration and Documentation: Collaborating with cross-functional teams, stakeholders, and data scientists to understand requirements and document solutions.