Azure Data Engineer Course
This course equips you with hands-on expertise in building scalable, secure, and optimized data lakehouses on Azure using modern tools like Delta Lake, Spark, and Synapse.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Azure Data Engineer Course teaches you practical skills to design and build a modern lakehouse on Azure, starting from logical modeling and Delta Lake optimization up to Spark-based transformations. You will learn how to ingest data using patterns with Data Factory and Synapse, put in place security, governance, and reliability, and adjust performance and costs so that your data platform remains scalable, trusted, and prepared 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.
- Optimize 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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