Azure Data Engineer Course
Gain expertise in designing Azure lakehouses, performing Spark ETL with Delta Lake, orchestrating secure pipelines using ADF and Synapse, and optimising costs and performance. Build robust, scalable data platforms that support real-time analytics and dependable business intelligence for data engineering teams in dynamic environments.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This course equips you with hands-on skills to create and manage a modern lakehouse on Azure, covering data modelling, Delta Lake tuning, Spark processing, ingestion via Data Factory and Synapse, security measures, governance practices, and performance optimisation for scalable, reliable analytics platforms.
Elevify advantages
Develop skills
- Design effective Azure lakehouse structures including star schemas and bronze-silver-gold layers.
- Develop scalable Spark ETL processes with Delta Lake, schema evolution, and quality validation.
- Manage Azure data pipelines using ADF and Synapse for CDC, batch, and streaming workflows.
- Optimise platform costs and speed through autoscaling, partitioning, caching, and Z-ordering techniques.
- Implement strong data security and governance with RBAC, encryption, row-level access, and lineage tracking.
Suggested summary
Before starting, you can change the chapters and 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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