Azure Data Engineer Associate

As an Azure data engineer, you assist stakeholders in understanding data through exploration and build and maintain secure and compliant data processing pipelines using various Azure services and frameworks. These services include Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, Azure Data Lake Storage, and Azure Databricks.

You ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, addressing business requirements and constraints. Additionally, you identify and troubleshoot operational and data quality issues and design, implement, monitor, and optimize data platforms to meet data pipeline needs.

Course Format

Online learning, video tutorials, interactive workshops, practical assignments

£106 to sit the exam

Skills Covered

• Design and implement data storage

• Develop data processing

• Secure, monitor, and optimize data storage and data processing

Matched Skills and Levels from NCF Competencies

• AEC3 L2: You can produce data models and understand where to use different types of data models. You understand industry-recognised data modelling patterns and standards.

• AEC3 L3: You can build and review complex data models, ensuring adherence to standards. You work with other data professionals to improve modelling, integration patterns and standards.

• AEC3 L2: You build and test data pipelines ensuring valid, high-quality data is available.

• AEC3 L3: You build and test scalable data pipelines from multiple data sources using an efficient mix of modern tools.

• DEC3 L2: You understand the concepts and principles of data modelling and can produce relevant data models across multiple subject areas.