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Data Engineering
Data Engineering is a crucial field within data science and analytics, focusing on the design, construction, and management of systems ...
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Data engineers build and optimize the systems that allow data scientists and analysts to work with large datasets and perform advanced analytics and machine learning.
This program is designed for individuals who are looking to develop specialized skills in data infrastructure management and are aiming to pursue roles such as Data Engineer, Data Architect, or Big Data Engineer within organizations of various industries.
This program is suitable for both entry-level professionals looking to break into data engineering and mid-career professionals seeking to deepen their expertise and advance into more specialized roles in the data engineering field.
By the end of this course, participants will be able to :
- Understand Core Data Engineering Concepts
- Develop and Manage Data Pipelines
- Work with Databases and Data Storage Solutions
- work with big data frameworks to handle large datasets, perform distributed data processing, and manage real-time data streams.
- Utilize Cloud Platforms for Data Engineering
Career Prospect
- Business Analyst
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Marketing Analyst
Do you provide financial assistance or payment plans?
As noncredit courses, our courses are not eligible for state or federal financial aid. Some students seek professional development support from their employer or from external scholarships.
While we do not offer automatic payment plans at this time, please reach out our student facilitator or administrator to advice and discuss about payment alternatives, such as bank loan or other financial institution.
While we do not offer automatic payment plans at this time, please reach out our student facilitator or administrator to advice and discuss about payment alternatives, such as bank loan or other financial institution.
Can I get a refund if I am unable to attend my applied course?
In this circumstance, based on an individual evaluation, you may be eligible for a refund. In that case, the time to refund your payment will be within 4-6 weeks.
In order to be granted a full tuition refund, you must cancel your registration by sending an email to info@exzellprofis.com by 5:00 PM (your local time) 5 full business days before the course’s start date. Please note we are unable to reimburse for any currency conversion fees charged by your credit-card issuer.
In order to be granted a full tuition refund, you must cancel your registration by sending an email to info@exzellprofis.com by 5:00 PM (your local time) 5 full business days before the course’s start date. Please note we are unable to reimburse for any currency conversion fees charged by your credit-card issuer.
I am registered. Now what?
After applying, you'll receive a confirmation email containing details about your selected course. Within 1 to 2 working days, our student facilitator will contact you via WhatsApp to verify your enrollment and confirm the course fees. Please review the information provided and follow the instructions to complete your registration.
This course is a comprehensive program designed to equip you with essential skills, hands-on training, and industry-recognized certification. Whether you're looking to upskill, switch careers, or enhance your expertise, this course provides the perfect opportunity to grow.
Why Join This Course?
- Industry-Relevant Curriculum – Learn from expert instructors with real-world experience.
- Hands-On Training – Gain practical skills through interactive lessons and projects.
- Flexible Learning – Study at your own pace with online or in-person options.
- Certification Upon Completion – Boost your resume with a recognized credential.
Course Information
The aim of the Data Engineering is to provide participants with the fundamental skills and hands-on experience needed to design, build, and maintain robust data infrastructures.
This program focuses on equipping learners with the expertise to handle large-scale data processing, develop scalable data pipelines, and manage both structured and unstructured data in a range of environments.
By the end of the program, participants will be proficient in key data engineering tools and technologies, enabling them to support data-driven decision-making processes within an organization.
Course requirements
Minimum Academic Qualifications
- Sijil Pelajaran Malaysia (SPM) or its equivalent (for entry-level participants).
- Sijil Kemahiran Malaysia (SKM) Level 3 or higher in Information Technology, Computer Science, or related fields (for hands-on, practical learners).
- Diploma in Information Technology, Computer Science, Software Engineering, or related fields (for those seeking to deepen their technical skills).
- Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, or a related field is preferred for those seeking an in-depth, advanced understanding
Basic Knowledge - A basic understanding of mathematics and statistics is beneficial
Computer Skills - Basic proficiency in using computers (MS Office Suite – Excel, Word, PowerPoint).
Language Proficiency - Proficiency in English (both written and spoken) to understand course materials and communicate effectively in group discussions.
Prerequisite (if applicable)
- Basic understanding of programming concepts (preferably in Python or Java).
- Familiarity with databases (SQL or NoSQL) is advantageous but not mandatory.
- A general interest in data management, cloud platforms, and big data technologies.
Intended audience
This course is ideal for –
- Data Engineers, Data Analysts
- Junior Data Engineers
- Database Administrators (DBAs)
- Software Engineers (interested in data-focused roles)
- Business Intelligence (BI) Developers
- Big Data Engineers
- Data Architects (early-stage or aspiring)
- Cloud Engineers (with a focus on data)
- ETL Developers
- System Engineers (looking to specialize in data infrastructure)
- Data Scientists (looking to focus more on data engineering aspects) IT Professionals (transitioning to data engineering)
- Data Consultants
- Junior Programmers (interested in data engineering roles)
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