Azure Data Engineer Course
This course provides comprehensive training for aspiring Azure Data Engineers, focusing on building and optimizing modern data lakehouses using Azure services like Synapse, Data Factory, and Spark. Participants will gain practical expertise in data modeling, ETL processes, pipeline orchestration, performance tuning, and data security to create robust, scalable data platforms for analytics.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The Azure Data Engineer Course equips you with hands-on skills to design and construct a modern lakehouse on Azure, covering logical modelling, Delta Lake optimisation, and Spark-driven transformations. You'll master data ingestion using Data Factory and Synapse, apply security, governance, and reliability measures, and fine-tune performance and costs to ensure your data platform remains scalable, reliable, and primed 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 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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