AWS Data Engineer Course
Gain expertise in AWS data engineering tailored for e-commerce needs: construct S3 data lakes, develop Glue ETL pipelines, fine-tune Redshift and Athena for better performance, reduce expenses, and implement strong data quality measures, security protocols, and governance practices to provide rapid, trustworthy analytics solutions at scale. This comprehensive training equips learners with practical abilities to manage large-scale data operations effectively on AWS cloud infrastructure.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This AWS Data Engineer Training provides hands-on skills to create and enhance a modern data analytics platform on AWS. Participants will build secure S3 data lakes, set up Glue crawlers and ETL processes, design Redshift data warehouses, and analyse data using Athena. The course covers cost optimisation, performance tuning, data quality assurance, schema management, monitoring, and governance to enable efficient, dependable, and properly managed analytics solutions.
Elevify advantages
Develop skills
- AWS data lake setup: design secure, partitioned S3 storage for quick analytics.
- Glue ETL workflows: build, manage, and track serverless Spark processing jobs.
- Redshift data modelling: create star schemas and optimise clusters for efficiency and savings.
- Athena data querying: set up Parquet tables and execute cost-effective SQL queries.
- Data quality and governance: apply validation checks, track lineage, and ensure regulatory compliance.
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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