FOUNDATIONS IN data engineering
In today’s data-driven world, organizations rely on efficient data systems to power innovation and decision-making. At Smart Data Warehouse Solutions Institute, our Foundational Data Engineering Program is designed to equip you with the basic skills to design, build, and optimize scalable data architectures. Through hands-on projects, expert mentorship, and industry-aligned modules, you’ll master data modeling, ETL processes, and cloud integration thereby preparing you to drive Business Intelligence and analytics in a rapidly evolving digital landscape.
DURATION
ONE YEAR
(Africa)
6 MONTHS
(Canada & USA)
AWARD
PROFESSIONAL DIPLOMA
CLASSES
HYBRID
TUITION
NGN1,500,000
(Africa)
CAD 8,500
(Canada & USA)
Be in Demand with Our Professional Training
Our Foundational Diploma Course in Data Engineering is a comprehensive one-year program designed to equip students with the practical skills and technical expertise to design, build, and manage scalable data systems. By combining data architecture principles with hands-on training in cloud platforms and big data tools, the program offers a balanced blend of theory and real-world application. Students will master data modeling, ETL pipeline development, and database optimization — preparing them to power analytics, machine learning, and business intelligence in today’s data-driven world.
Widely used by organizations like Walmart, Dell, and Bank of America for on-premises ETL workflows.
Adopted by companies such as Telefonica, CERN, and Marketo for open-source data orchestration.
Microsoft’s cloud-native ETL platform, used by Heathrow Airport, Adobe, and Heineken for scalable data movement and transformation.
WHAT YOU WILL LEARN
We don’t publish our course outlines online. Our curriculum is proprietary, industry-aligned, and built to give our students a competitive edge. However, here’s what you can expect:
Because tools are only as powerful as the problems they solve
Agile, Hybrid, and Data-specific workflows
How to design systems that scale.
With a focus on efficiency, safety, and security.
Because we don’t just train, we mentor.
CAPSTONE PROJECTS
To graduate, students must complete three real-world projects on the following:
SSIS
Azure Data Factory
Pentaho
Each project is reviewed by industry mentors and designed to simulate real-world data migration and transformation challenges.
Frequently Asked Questions
Data Engineering focuses on designing, building, and maintaining the systems that collect, store, and process large volumes of data for analysis and decision-making.
Anyone with an interest in data, programming, or cloud technologies can join. A background in IT, computer science, or mathematics is an advantage but not required.
The Diploma in Data Engineering is a one-year intensive program, combining theory, hands-on labs, and real-world projects.
Students will gain practical experience with Python, SQL, Snowflake, Azure Data Factory, Databricks, Apache Spark, and Power BI.
Basic computer literacy is enough. The program starts with foundational modules before advancing to complex data engineering concepts.
Yes. Students will complete capstone projects and case studies that simulate real industry challenges in data pipeline design and automation.
Graduates can work as Data Engineers, Cloud Engineers, ETL Developers, Database Administrators, or BI Engineers in diverse industries.
The program offers both on-site and hybrid learning options, giving flexibility to students based on their schedules.
Yes, successful students will be awarded a Foundation in Diploma in Data Engineering from Smart Data Warehouse Solutions Institute.
You can apply through our official website or visit our admissions office to complete your registration and secure your spot.
Every Expert Starts with the Right Training.
At Smart Data Warehouse Solutions Institute, we don’t just teach Data Engineering — we empower innovators to design scalable data systems that power intelligent decision-making and business transformation.
Join us today and turn your passion for data into a dynamic career in cloud computing, analytics, and modern data architecture.