Advanced Data Engineering

Data Analysis & Patterns

Advanced Data Engineering

Instructor: David Malan

Created: 20 Jan, 2025

Overview
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Courses Descriptions

Advanced Data Engineering

Level: Advanced
Duration: 6 Months (24 Weeks | ~360–420 Hours)
Format: Instructor-led / Self-paced / Hybrid
Prerequisites:

Intermediate Python
SQL fundamentals
Basic data warehousing concepts

Target Audience:
Data Engineers, Software Engineers, BI Engineers, Data Analysts transitioning to engineering roles

Course Overview

This Advanced Data Engineering course equips learners with the skills needed to design, build, and maintain scalable data systems used in modern, data-driven organizations. The program focuses on end-to-end data pipelines, from data ingestion and transformation to storage, orchestration, and analytics-ready delivery.

Learners will gain hands-on experience with SQL at scale, Python, ETL/ELT pipelines, data warehouses, big data frameworks, cloud platforms, and data orchestration tools. Emphasis is placed on performance, reliability, data quality, and security. By the end of the course, participants will be able to build production-grade data platforms and confidently step into roles such as Data Engineer, Analytics Engineer, or Big Data Engineer.

Course Objectives

By the end of the program, learners will be able to:

Design scalable, fault-tolerant data architectures
Build batch and streaming data pipelines
Work with data warehouses and data lakes
Optimize data processing at scale
Deploy, monitor, and secure data systems in production

Overview