AWS Data Engineering #715
Description
AWS Data Engineering is a high-demand skill focused on building scalable, secure, and efficient data solutions using Amazon Web Services. At LearnSoft, our AWS Data Engineering training program is designed to equip learners with the practical knowledge required to design, develop, and manage data pipelines in the cloud.
This course covers core AWS services essential for data engineering, including Amazon S3 (storage), AWS Glue (ETL), Amazon Redshift (data warehousing), Amazon EMR (big data processing), Amazon Athena (serverless querying), and Amazon Kinesis (real-time streaming). Learners will understand how to collect, transform, store, and analyze large datasets efficiently using modern cloud-based architectures.
LearnSoft’s training emphasizes hands-on, project-based learning with real-time use cases. Students gain practical experience in building ETL/ELT pipelines, data modeling, performance optimization, security implementation, monitoring, and cost management. The program also introduces best practices for working with structured and semi-structured data in cloud environments.
This course is ideal for data engineers, data analysts, software developers, and IT professionals who want to advance their careers in cloud data engineering. By the end of the training, learners will be well-prepared for roles such as AWS Data Engineer, Cloud Data Engineer, Big Data Engineer, and Analytics Engineer, as well as AWS certification pathways.
Join LearnSoft’s AWS Data Engineering training to master cloud-based data solutions and build a strong foundation in modern data engineering practices.