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Data Engineering Course in Malaysia

With Data Engineering, learn to optimize, label, explore, transform and move data to produce meaningful and useful insights to empower your business.
  • 40 Hours Interactive elearning Sessions
  • 20+ Hours Assignments
  • 20+ Hours of Industry Use Cases
  • 6 months Learning Management System access
  • Blockchain enabled tamper-proof security certificate
Data Engineering certification course reviews - 360digitmg
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Data Engineering certification course reviews - 360digitmg
3117 Learners
Academic Partners & International Accreditations
  • Data Engineering Course with Microsoft
  • Data Engineering certification with nasscomm
  • Data Engineering certification innodatatics
  • Data Engineering certification with SUNY
  • Data Engineering certification with NEF

Calendar-for-Virtual Interactive Classes

Start Date

Data Engineering Course

Data Engineering course duration in Malaysia

Total Duration

3 Months

Data Engineering course in Malaysia


  • Need basic programming skills
  • Python knowledge is highly recommended
  • SQl/Nosql experience is highly desired
  • Basic knowledge on Linux platform

Data Engineering Training Overview

The significant role of Data Engineers is to focus on processing data in a way that makes it easy for them to extract meaningful value from it. In this course, explore the various skills involved in laying down a successful foundation for digital transformation and facilitates the deployment of Data Science initiatives. Learn the tools and frameworks that data engineers need today to leverage AI, machine learning, and business intelligence skills to effectively manage data.
Data Engineering skills are constantly evolving with several skills unique to their profile. Learn advanced SQL techniques along with tools like Python, Keras, Pytorch, Spyder, etc. to handle a huge amount of data and solve real-world problems faster. Gain a thorough understanding of building data pipelines and integrating them smoothly with various data structures to keep pace with big data needs and implement data science and AI initiatives in your organizations.

What is Data Engineering?


To make data-driven decisions, data has to be collected, sorted, and analyzed giving results to quality data. This process of giving insights from data to businesses using advanced analytical tools is termed Data Engineering.


Data Engineering Training Learning Outcomes

Transforming data from a raw format to attractive analytical boards is a long journey that requires a dedicated environment known as data pipelines to obtain, process, and store data. Data Engineers are architects of these data platforms and give value to data analysis, business intelligence, and machine learning. In this course, you will learn to create and manage data infrastructures and build and deploy data pipelines to explore the various techniques to optimize large volumes of data and algorithms. You will also get to work with large and multi databases and learn how to create a Python data pipeline from scratch. Find out how tree data structures speed up the processing of data analysis. As you move on, you will also learn to work with complex data that are collected from multiple sources to build data processing systems. This course will give you an understanding of the skills involved in descriptive and inferential analysis and how data processing is optimized using various tools like NumPy. Also, learn to analyze data in Python and take a dive into object-oriented programming (OOP). Understand data warehouse and data manipulation and learn how to use Big Query ML to build different kinds of ML models. Join the Data Engineering course to get a hands-on introduction to developing and building data pipelines. Also-

Understand the meaning of Data Engineering and its ecosystem
Learn to extract data from multiple files and databases
Learn to construct and deploy a data pipeline in production
Work with various file formats in both NoSQL and Relational databases
Master the skills and techniques to refine, transform, and add value to your data
Explore the various data structures including Linked Lists, Stacks, Dictionaries, Queues, etc.

Block Your Time

data engineering course

40 hours

Live sessions

data engineering course

20+ hours


Data engineering course

20+ hours

Industry Use Cases

Who Should Sign Up?

  • Data professionals who work in conjunction with data science team
  • Professionals aspiring to work on database designs and build data pipelines
  • Professionals like ML developers, Data Engineers , Architects, Software developers
  • Candidates from computer science and IT backgrounds aspiring to crack jobs in data engineering fields
  • Professionals working as business intelligence analyst or database administrators

Data Engineering Course Modules

These modules are going to take you through the essential skills required to become a successful data engineer. You will learn how to gather, extract, transform, and then deploy data pipelines in the cloud. Using big data tools and real-time multiple databases you will gain expertise in skills of refining, and exchanging data. These modules are crafted keeping in mind the current industry trends and market requirements.

  • Introduction Distributed Framework
  • Apache Spark
    • Core, SQL, MLlib
  • Introduction to Apache Airflow
    • Building Pipeline in Apache Airflow
    • Deploy and Monitor Data Pipeline
    • Production Data Pipeline
  • Real Time Streaming on Cloud (Azure and GCP)
  • Deploy and Monitor Data Pipelines
    • Production Data Pipeline
    • Connecting to Databases
  • Data Lakes
    • Populating a data lake
    • Reading and Scanning the data lake
    • Insert and Query a staging database
  • Introduction to Pub/Sub Messaging System and Apache Kafka
  • Building kafka Cluster
  • Setup Zookeeper and Kafka Cluster
  • Configuring and Testing Kafka Cluster
  • Streaming Data with Apache Kafka
  • Data Processing with Apache Spark and Databricks (public cloud)
Data Pipeline Modules - Self-Paced Learning Modules
How we prepare you
  • data engineering course with placements
    Additional assignments of over 80+ hours
  • data engineering course with placements training
    Live Free Webinars
  • data engineering training institute with placements
    Resume and LinkedIn Review Sessions
  • data engineering course with certification
    Lifetime LMS Access
  • data engineering certification with USP
    Job placements in Data Engineering fields
  • best data engineering course with USP
    Complimentary Courses
  • best data engineering course with USP
    Unlimited Mock Interview and Quiz Session
  • best data engineering training with placements
    Hands-on experience in a live project
  • data engineering course with USP
    Offline Hiring Events

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Data Engineering Course Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Read More >
Artificial Intelligence & Deep Learning Course Training -360digitmg

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 18+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
Read More >
Artificial Intelligence & Deep Learning Course Training - 360digitmg

Bhargavi Kandukuri

  • Areas of expertise: Business analytics, Quality management, Data visualisation with Tableau, COBOL, CICS, DB2 and JCL
  • Electronics and communications engineer with over 19+ years of industry experience
  • Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
  • Trained over 750+ professionals across the globe in three years
  • Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Read More >
Data Engineering certification - 360digitmg

Data Engineering Certificate

Win recognition for your skills with the Data Engineering Certification. Stand out in this emerging yet competitive field with our certification.

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Alumni Speak

Nur Fatin

"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."

"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."

Nur Fatin

Associate Data Scientist

Thanujah Muniandy

"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”

Thanujah Muniandy

Ann Nee, Wong

"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”

Ann Nee, Wong

Mohd Basri

"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”

Mohd Basri

Ashner Novilla

"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."

"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”

Ashner Novilla


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FAQs for Data Engineering Certification Training

The Data Engineering course aims to provide aspirants with an in-depth understanding of all the essential tools and skills used by Data Engineers. The course provides hands-on learning of leading as Python, SQL, Spark, Kafka, and many more.

The training will be conducted in hybrid mode i.e., through the live instructor-led virtual sessions. The timings for both the sessions will be the same.

After the successful completion of 80% of your assignments, you are assigned to a live project where you will work with a group of students to bring the project to closure. After that, you will make a project presentation.

After the successful completion of the program, you will be awarded the Data Engineering certificate, powered by IBM.

This course is designed for students as well as working professionals. The basic requirement to undertake this course includes a degree in engineering, computer applications, or mathematics.

No, there are no extra charges for the certification. The cost is included in the package.

Not to worry, if you miss out on a session you can access the recorded session from the online Learning Management System (LMS).

We do not guarantee placements nevertheless, our placement cell supports you with resume building sessions, mock interviews, mentorship, and interview preparation. Our team also helps you launch your career by providing interview opportunities.

Becoming a data engineer in three months is challenging but possible with focused effort and dedication. Start by learning essential programming languages like Python, SQL, and possibly Scala. Familiarise yourself with data storage technologies such as Hadoop, Spark, and databases like MySQL or PostgreSQL. Take online courses or bootcamps tailored to data engineering, and work on projects to apply your skills practically. Networking and seeking mentorship can also accelerate your learning process.

When considering learning data engineering, 360DigiTMG offers comprehensive courses designed to equip individuals with the necessary skills and knowledge. Their programs typically cover key concepts in data engineering, programming languages such as Python and SQL, as well as relevant technologies like Hadoop, Spark, and data pipelines. Depending on the course structure and individual effort, completing such a program could significantly accelerate the learning process.

Jobs in the field of Data Engineering in Malayaisa
Jobs in Data Engineering In Malaysia

The demand for skilled Data Engineers is growing rapidly paving way for many job opportunities which involve collaboration with Data Scientists, Database Administrators, and Data Architects.

Salaries in Malaysia for Data Engineering professionals
Salary for Data Engineers

Data Engineers are among the highest-paid professionals and perform various roles to support business applications by maintaining data infrastructure. The average salary of a Data Engineer with 1-5 years of experience can range from 5lacs to 8lacs per annum.

Projects in the field of Data Engineering in Malaysia
Projects in the field of Data Engineering

The various big data projects that data engineers can work on include processing unstructured data using Spark, analyzing datasets with songs to predict song preferences, or analyze an airline dataset using big data tools like Hadoop and Hive.

Role of Open Source Tools in Data Engineering
Role of Open Source Tools in Data Engineering

The open-source tools help to transform and extract data which is then used to implement pipeline models. The various tools of data engineering include Hadoop, SQL, and NoSQL, Apache Spark, Python, etc.

Modes of Training for Data Engineering training
Modes Of Training For Data Engineering

The course in Data Engineering is designed to suit the needs of students as well as working professionals. We provide our students the option of interactive live online learning which is supported by theory and practical methodology.

Industry Application of Data Engineering certification
Industry Applications of Data Engineering

Data Engineers can work in sectors like banking, marketing, education, healthcare, manufacturing, media, etc., and can work as a generalist data engineer, pipeline-centric data engineer, and database-centric data engineer depending upon the job requirement.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.


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360DigiTMG - 360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia

Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50740 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Data Engineering Certification Course Training in Other Locations - Data Engineering Course in Malaysia, Data Engineering in Malaysia, Data Engineering Courses, Data Engineer Course, Data Engineer Malaysia, Data Engineering Course in Bangalore, Data Engineering Course in Hyderabad, Data Engineer Certification, Data Engineering, In Malaysia, the Data Engineering Course acts as the gateway to uncovering valuable insights from extensive datasets. It serves as the communication channel through which data conveys essential information to address contemporary business requirements. Pursuing certification guarantees mastery in crafting, executing, and refining data solutions to meet evolving demands..

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