Azure Data Engineer Course
Gain expertise in designing Azure lakehouses, performing Spark transformations, using Delta Lake, and building secure data pipelines. This training equips you to develop scalable, cost-effective Azure data platforms that enable real-time analytics and trustworthy business intelligence for contemporary data engineering teams.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Azure Data Engineer Training provides hands-on skills to create and manage a modern lakehouse on Azure, covering logical data modelling, Delta Lake tuning, and Spark-driven transformations. You will master data ingestion using Data Factory and Synapse, apply security measures, governance practices, and reliability features, while optimising performance and costs for a scalable, dependable data platform suited for analytics.
Elevify advantages
Develop skills
- Design Azure lakehouse structures including star schemas and bronze-silver-gold layers.
- Develop scalable Spark ETL processes with Delta Lake, schema evolution, and quality validations.
- Manage Azure pipelines using ADF and Synapse for CDC, batch, and streaming workflows.
- Optimise costs and performance through autoscaling, partitioning, caching, and Z-ordering techniques.
- Implement data security and governance with RBAC, encryption, row-level security, and lineage tracking.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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