Azure Data Engineer Course
This course equips learners with essential skills to design, build, and optimize modern data lakehouses on Azure, covering modeling, ETL processes, orchestration, performance tuning, and data security.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
The Azure Data Engineer Course provides practical skills to design and build a modern lakehouse on Azure, from logical modelling and Delta Lake optimisation to Spark-based transformations. You will learn ingestion patterns with Data Factory and Synapse, implement security, governance, and reliability, and tune performance and costs so your data platform remains scalable, trusted, and ready for analytics.
Elevify advantages
Develop skills
- Design Azure lakehouse models: star schemas and bronze–silver–gold layers.
- Build scalable Spark ETL: Delta Lake, schema evolution, and data quality checks.
- Orchestrate Azure pipelines: ADF/Synapse, CDC, batch, and real-time flows.
- Optimise cost and performance: autoscaling, partitioning, caching, and Z-ordering.
- Secure and govern data: RBAC, encryption, row-level security, and lineage.
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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