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.

flexible workload of 4 to 360h
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-based transformations. You'll master ingestion patterns using Data Factory and Synapse, implement security, governance, and reliability, and fine-tune performance and costs to ensure your data platform remains scalable, trustworthy, 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.
- Optimise cost and performance: autoscaling, partitioning, caching, and Z-ordering.
- Secure and govern data: RBAC, encryption, row-level security, and lineage.
Suggested summary
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