Cloud Data Engineer

About The Program

A 4-month program that explores the comprehensive landscape of modern cloud-based data architecture, transforming raw data into scalable, reliable pipelines and analytics platforms. It begins with a solid foundation in SQL for data querying and manipulation, followed by core principles of data warehouse design and architecture.

You’ll master Python programming for data tasks, then learn to build robust ETL (Extract, Transform, Load) pipelines to automate data workflows. The curriculum culminates with hands-on implementation using Azure cloud data services, teaching you to deploy, manage, and orchestrate solutions in a real-world cloud environment. Overall, this program equips you with the end-to-end skillset to design, build, and maintain the data infrastructure that powers today’s data-driven organizations.

What Will You Learn

How to write, optimize, and analyze complex SQL queries to extract, filter, aggregate, and transform relational data.
How to program in Python using core data structures, control flow, functions, and essential libraries for data manipulation and automation.
How to implement and manage core Azure data services, including Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
How to apply data modeling and engineering principles to support both batch and real-time data processing in the cloud.

How to integrate various cloud services to create cohesive data solutions that are scalable, secure, and cost-effective.
How to design and evaluate data warehouse architectures, including concepts like star/snowflake schemas, fact/dimension tables, and slowly changing dimensions.
How to design, build, and automate production-grade ETL/ELT pipelines using Python frameworks for data ingestion, cleansing, and transformation.
How to architect a complete cloud data platform that ingests, stores, processes, and delivers data for analytics and business intelligence.