An Azure Data Engineering full-stack role encompasses the entire data lifecycle within the Azure ecosystem, from data ingestion to analysis and reporting. These engineers are responsible for designing, implementing, and maintaining data pipelines, data warehouses, and data lake solutions using a variety of Azure services. They also handle tasks like data transformation, security, and performance optimization.
Bringing data from various sources (structured, unstructured, real-time) into Azure.
Data Transformation and Cleaning:Ensuring data quality and consistency through cleaning, transformation, and integration processes.
Data Storage:Designing and implementing data storage solutions, including Azure Blob Storage, Azure Data Lake Storage, and Azure SQL Database.
Data Warehousing:Building and maintaining data warehouses using Azure Synapse Analytics.
Data Pipeline Development:Creating and managing automated data pipelines for efficient data movement and processing using Azure Data Factory or Azure Databricks.
Data Security and Compliance:Implementing security measures (encryption, access control) and ensuring compliance with data privacy laws.
Performance Monitoring and Optimization:Identifying and resolving performance bottlenecks in data systems.
Collaboration:Working with data scientists, analysts, and business stakeholders to understand their needs and implement appropriate data solutions.