AWS Data Engineer Course
This course provides hands-on training in building modern data analytics pipelines on AWS, covering data lakes, ETL processes, data warehousing, and analytics querying with a focus on optimization and governance.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
The AWS Data Engineer Course equips you with practical skills to construct and refine a contemporary analytics framework on AWS. You will craft secure S3 data lakes, set up Glue crawlers and ETL processes, structure Redshift data warehouses, and retrieve data using Athena. Gain knowledge in cost and performance optimisation, data integrity, schema adaptation, monitoring, and governance to provide swift, dependable, and effectively managed analytics outcomes.
Elevify advantages
Develop skills
- AWS data lake design: construct secure, partitioned S3 lakes for rapid analytics.
- Glue ETL pipelines: develop, coordinate, and oversee serverless Spark tasks.
- Redshift warehousing: structure star schemas and adjust clusters for efficiency and economy.
- Athena analytics: ready Parquet tables and execute optimised, economical SQL queries.
- Data quality & governance: implement verifications, lineage, and compliant access management.
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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