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 scalable and reliable 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 explore data ingestion methods using Data Factory and Synapse, apply security measures, governance, and reliability features, while fine-tuning performance and costs to ensure your data platform remains scalable, reliable, 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 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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