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Best Data Engineering Course Training in Singapore

Data Engineering is the new hot job in the market. A tech job report published by a renowned agency notes that Data Engineering is the fastest-growing career option in technology.
  • 40 Hours Interactive Online Sessions
  • 80 Hours Assignments & Real-Time Projects
  • Complementary Hadoop and Spark
  • Complementary ML on Cloud
  • Complementary Python Programming
Data Engineering certification course reviews - 360digitmg
513 Reviews
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

Data engineering is about generating quality data and making it available for businesses to make data-driven decisions. Requirement for Data Engineering professionals has always outstripped the supply since 2017. Data Engineers enable businesses to engage in insights produced by data science using advanced analytics. This course in Data Engineering will equip you to build big data superhighways by teaching you the skills to unlock the value of data. According to reports, Data Engineer is the fastest-growing job in the space of technology, and with this course in Data Engineering, you will be able to kick start your new career as a Data Engineer today!

Data Engineering

business analytics course duration in Singapore

Total Duration

2 Months

data engineering course


  • Computer Skills
  • Basic Mathematical Concepts
  • Analytical Mindset

Data Engineering Training Overview in Singapore

With our Data Engineering Training, you get to explore the various tools used by Data Engineers and understand the difference between a Data Scientist and a Data Engineer. In this training, get introduced to tools like Python, Spark, Kafka, Jupyter. Spyder, TensorFlow, Keras, PyTorch, etc. along with advanced SQL techniques. Learn to extract raw data from various data sources in multiple formats and then transform them into actionable insights, and deploy them into a single, easy-to-query database. Learn how to build pipelines while handling huge data to optimize the process of big data. Get firsthand experience with advanced data engineering projects.

What is Data Engineering?

A Data Engineer collects and transforms data to empower businesses to make data-driven decisions. He has to pay attention to security and compliance; reliability and fidelity; scalability and efficiency; and flexibility and portability while designing, operationalizing and monitoring data processing systems.

Data Engineering Training Learning Outcomes in Singapore

These modules will lay out the foundation for data science and analytics. The core of Data Engineering involves an understanding of various techniques like data modelling, building data engineering pipelines, and deploying the analytics models. Students will learn how to wrangle data and perform advance analytics to get the most value out of data. As you progress, you'll learn how to design as well as build data pipelines and work with big data of diverse complexity and production databases. You will also learn to extract and gather data from multiple sources, build data processing systems, optimize processes for big data, build data pipelines, and much more. With this course develop skills to use multiple data sources in a scalable way and also master the skills involved in descriptive and inferential statistics, interactive data analysis, regression analysis, forecasting, and hypothesis testing. Also, learn to

Comprehend the meaning of Data Engineering
Understand the Data Engineering Ecosystem and Lifecycle
Learn to draw data from various files and databases
Acquire skills and techniques to clean, transform, and enrich your data
Learn to handle different file formats in both NoSQL and Relational databases
Learn to deploy a data pipeline and prepare dashboards to view results
Learn to scale data pipelines in the production environment
Block Your Time
data engineering course in Singapore

40 hours

Live Sessions

data engineering course in Singapore

80 hours


Who Should Sign Up?
  • Science, Math and Commerce graduates
  • IT professionals who want to specialise in digital tech
  • Professionals who want to move into Data Analytics
  • Professionals who want to add Data Analytics to current job skills
  • Academicians and researchers working in Data Analytics

Data Engineering Course Modules in Singapore

These modules on Data Engineering are designed to ensure that they are at par with the current industry requirements for Data Engineers. All the modules will wrap up with hands-on practice using real tools and real-time multiple databases. With these modules you will learn to manage, load, extract, and transform data to facilitate delivering of results that your organization can leverage. You will also learn to master the core skills of cleansing, and migrating data.

  • Intro to Data Engineering
  • Data Science vs Data Engineering
  • Building Data Engineering Infrastructure
  • Working with Databases and various File formats (Data Lakes)
    • SQL
      • MySQL
      • PostgreSQL
    • NoSQL
      • MongoDB
      • HBase
      • Apache Cassandra
    • Cloud Sources
      • Microsoft Azure SQL Database
      • Amazon Relational Database Service
      • Google Cloud SQL
      • IBM Db2 on Cloud
  • Extra-Load, Extract-Load-Transform, or Extract-Transform-Load paradigms
  • Preprocessing, Cleaning, and Transforming Data
  • Cloud Data Warehouse Service
    • AWS: Amazon Redshift
    • GCP: Google Big Query
    • IBM: Db2 Warehouse
    • Microsoft: Azure SQL Data Warehouse
  • Distributed vs. Single Machine Environments
  • Distributed Framework - Hadoop
    • Various Tools in Distributed Framework to handle BigData
      • HBase
      • Kafka
      • Spark
      • Apache NiFi
    • Distributed Computing on Cloud
      • ML and AI platforms on Cloud
  • Databases and Pipelines
    • Data Pipeline
      • Features of Pipelines
      • Building a pipeline using NiFi
  • Installing and Configuring the NiFi Registry
    • Using the Registry in NiFi
    • Versioning pipelines
    • Monitoring pipelines
    • Monitoring NiFi using GUI
    • Using Pything with the NiFi REST API
  • Building pipelines in Apache Airflow
    • Airflow boilerplate
    • Run the DAG
    • Run the data pipelines
  • Deploy and Monitor Data Pipelines
    • Production Data Pipeline
    • Creating Databases
  • Data Lakes
    • Populating a data lake
    • Reading and Scanning the data lake
    • Insert and Query a staging database
  • Building a Kafka Cluster
  • Setup Zookeeper and Kafka Cluster
  • Configuring and Testing Kafka Cluster
  • Streaming Data with Apache Kafka
  • Data Processing with Apache Spark
  • Real-Time Edge Data with MiNiFi, Kafka, and Spark

Course Fee Details

Online Interactive Sessions
Mode of training: Live Online
  • 10+ hours of live online doubt clarification sessions
  • Free access to USD 500 worth study materials - mindmaps, digital book on Data Science & many more
  • Blockchain security enabled tamper-proof certificate(s)
  • Real-life industry-based projects with AiSPRY
  • 100% HRD Corp-claimable courses
  • Free Learning Management System Access

MYR 3,600

Minimum instalments cost starting from: MYR 1,296

2220 Learners

294 Reviews

Employee Upskilling
Mode of training: Onsite or Live Online
  • Minimum 10 participants per batch for Onsite training
  • Pre & Post Assessment Services
  • Blockchain security enabled tamper-proof certificate(s)
  • Customised Curriculum with industry-relevant use cases
  • 100% HRD Corp-claimable courses
  • Free Learning Management System Access

Corporate Group DiscountsUp to 30% for 3 participants & above

2220 Learners

294 Reviews

Payment Accepted

All prices are applicable with 8% taxes.

How we prepare you
  • data engineering course with placements in Singapore
    Additional assignments of over 80+ hours
  • data engineering course with placements training in Singapore
    Live Free Webinars
  • data engineering training institute with placements in Singapore
    Resume and LinkedIn Review Sessions
  • data engineering course with certification in Singapore
    Lifetime LMS Access
  • data engineering course  with USP in Singapore
    24/7 support
  • data engineering certification with USP in Singapore
    Job placements in Data Engineering fields
  • best data engineering course with USP in Singapore
    Complimentary Courses
  • best data engineering course with USP in Singapore
    Unlimited Mock Interview and Quiz Session
  • best data engineering training with placements in Singapore
    Hands-on experience in a live project
  • data engineering course with USP in Singapore
    Offline Hiring Events

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Data Engineering Course Panel of Coaches

data scientist trainers

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 >
data scientist trainers

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization
  • 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 >
data scientist trainers

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 in Singapore - 360digitmg


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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 in Singapore

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.

Jobs in the field of Data Engineering in Singapore
Jobs in Data Engineering in Singapore

A Data Engineer is responsible for developing computer algorithms to identify trends in large data sets. The most common career paths for Data Engineer include Data Scientist, Data Architecture, Data Analyst, and Software Engineers.

Salaries in Singapore for Data Engineering professionals
Salary for Data Engineers in Singapore

The demand for Big Data Engineers with strong analytic skills to handle data generated from various platforms with proficiency in SQL database design gets an average salary of Rs 8,17,911 LPA.

Projects in the field of Data Engineering in Singapore
Projects in the field of Data Engineering in Singapore

Data engineering is the most critical skill for a Data Scientist and the various projects students could take up include Analyzing sentiments, Detecting credit card fraud, Detection of color, and many more.

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

The various tools we will be exploring in this course are Apache Hadoop, Apache Spark, Apache Hive, Apache Kafka, NoSQL, and many more.

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

The course in Data Engineering is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of interactive live online learning. We also support e-learning as part of our curriculum.

Industry Application of Data Engineering certification
Industry Applications of Data Engineering in Singapore

Data Engineers dominate many industries including Banking, Media, Education, Healthcare, manufacturing, etc.

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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