• Next Cohort starts 4 Dec, 2023
  • Program Duration 8 months
  • Learning Format Online Bootcamp

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Joint certificate from Purdue university and Simplilearn

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain IBM certificates for IBM courses and get access to masterclasses by IBM

Career Mentorship

Career Mentorship

Build your resume and prepare for interviews with valuable insights from industry experts

Hands-on Experience

Hands-on Experience

14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Engineering Course Overview

This Data Engineer Course in Singapore focuses on Hadoop-based distributed processing, Spark-based large-scale data processing, Kafka-based data pipelines, and data processing on AWS and Azure cloud infrastructures. You will be career-ready for a data engineering role after completing this Data Engineer Training in Singapore.

Key Features

  • Post Graduate Program Certificate and Alumni Association membership
  • Exclusive Master Classes and Ask me Anything sessions by IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
  • IBM certificates for IBM courses
  • 8X higher live interaction in live Data Engineering online classes by industry experts

Data Engineering Course Advantage

This Data Engineering postgraduate program in partnership with Purdue University leverages Purdue’s academic excellence & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.

  • Purdue Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Purdue Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized IBM certificates for IBM courses
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

Data Engineering Course Details

Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

Learning Path

  • Get started with the Data Engineering certification course in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.

    • Learn the essentials of Python programming
    • Understand the concepts of SQL and NoSQL
    • Learn how to navigate the Hadoop ecosystem and understand how to
    • optimize its use
    • Ingest data using Sqoop, Flume, and Kafka
    • Implement partitioning, bucketing, and indexing in Hive
    • Work with RDD in Apache Spark
    • Process real-time streaming data
    • Perform DataFrame operations in Spark using SQL queries
    • Implement User-Defined Functions (UDF) and User-Defined Attribute
    • Functions (UDAF) in Spark
    • Understand the fundamental concepts of the AWS platform and cloud

    • computing

    • Identify AWS concepts, terminologies, benefits, and deployment

    • options to meet business requirements

    • Identify deployment and network options in AWS

    • Understand how to use Amazon EMR for processing the data using

    • Hadoop ecosystem tools

    • Understand how to use Amazon Kinesis for Big Data processing in

    • real-time and analyze and transform Big Data using Kinesis Streams

    • Visualize data and perform queries using Amazon QuickSight.

    • Describe Azure storage and create Azure web apps

    • Deploy databases in Azure

    • Understand Azure AD, cloud computing, Azure, and Azure

    • subscriptions

    • Create and configure VMs in Microsoft Azure

    • Implement data storage solutions using Azure SQL Database, Azure

    • Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,

    • Azure Stream Analytics, Azure Databricks services

    • Develop batch processing and streaming solutions

    • Monitor Data Storage and Data Processing

    • Optimize Azure Data Solutions

  • By the end of Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.

Electives:
    • Create your first Python program using variables, strings, functions, loops, and conditions.

    • Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.

    • Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.

    • Understand how to leverage the functionality of Python
    • Master Apache Spark architecture and how to set up a Python environment for Spark
    • Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
    • Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
    • Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
    • Describe the importance of big data

    • Describe the fundamental concepts of Kafka

    • Describe the architecture of Kafka

    • Explain how to install and configure Kafka

    • Explain how to use Kafka for real-time messaging

    • Develop expertise in writing Java and NodeJS applications using MongoDB
    • Perform installation, configuration, and maintenance of the MongoDB environment
    • Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
    • Proficiently store unstructured data in MongoDB
    • Develop skill sets for processing vast amounts of data using MongoDB tools
    • Gain proficiency in MongoDB configuration, backup methods, and monitoring.
  • This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.

    • Gain a comprehensive understanding of Java
    • Learn how to use operators in Java
    • Learn about loops in Java
    • The course covers methods in Java.
    • Understand how to work with constructors in Java
    • Gain an understanding of the JUnit framework
  • Industry Master Class – Data Engineering

  • Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.

  • Attend this live online immersive Masterclass on Generative AI designed to empower participants with the knowledge and skills to harness the incredible potential of generative artificial intelligence. These cutting-edge Masterclasses are taken by industry experts and delve deep into the world of AI-powered creativity, helping you to understand various concepts & topics related to generative AI.

Skills Covered

  • Real Time Data Processing
  • Data Pipelining
  • Big Data Analytics
  • Data Visualization
  • Provisioning data storage services
  • Apache Hadoop
  • Ingesting Streaming and Batch Data
  • Transforming Data
  • Implementing Security Requirements
  • Data Protection
  • Encryption Techniques
  • Data Governance and Compliance Controls

Tools Covered

Amazon EMRAmazon QuicksightAmazon RedshiftAmazon Sagemakerkafkamongodbpythonscalaspark.Azure Blob Storageazure cosmos dbAzure Data FactoryAzure Data LakeAzure DatabricksAzure Stream AnalyticsAzure Synapse Analyticsazure SQL database

Industry Projects

  • Project 1

    Market Basket Analysis Using Instacart

    Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.

  • Project 2

    YouTube Video Analysis

    Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.

  • Project 3

    Data Visualization Using Azure Synapse

    Build visualization for the sales data using a dashboard to estimate the demand for all locations. This will be used by a retailer to make a decision on where to open a new branch.

  • Project 4

    Data Ingestion EndtoEnd Pipeline

    Upload data to Azure Data Lake Storage and save large data sets to Delta Lake of Azure Databricks so that files can be accessed at any time.

  • Project 5

    Server Monitoring with AWS

    Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.

  • Project 6

    ECommerce Analytics

    Analyze the sales data to derive significant region-wise insights and include details on the product evaluation.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Program Advisors and Trainers

Program Advisors

  • Aly El Gamal

    Aly El Gamal

    Assistant Professor, Purdue University

    Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.

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Program Trainers

  • Wyatt Frelot

    Wyatt Frelot

    20+ years of experience

    Senior Technical Instructor

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO

  • Makanday Shukla

    Makanday Shukla

    15+ years of experience

    Enterprise Architect

  • Amit Singh

    Amit Singh

    12+ years of experience

    Technical Architect

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Join the Data Engineering Domain

The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)

Job Icon11.5 M

Expected New Jobs For Data Analytics And Science Related Roles

Source: US bureau of Labor
Job Icon50%

YOY Growth For Data Engineer Positions

Source: Dice 2020 report
Job Icon$76-$200K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Engineering postgraduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 40%Software Product - 15%BFSI - 15%Manufacturing - 15%Others - 15%
    Companies
     course learners from Microsoft, Singapore
     course learners from Amazon, Singapore
     course learners from IBM, Singapore
     course learners from Accenture, Singapore
     course learners from Deloitte, Singapore
     course learners from Ericsson, Singapore

Learner Reviews

Admission Details

Application Process

Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.

STEP 1

Submit Application

Tell us why you’d want to do this Data Engineering course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the Data Engineering course within 1-2 weeks

Eligibility Criteria

For admission to this Data Engineering course, candidates should have:

2+ years of work experience (preferred)
A bachelor's degree with an average of 50% or higher marks
Basic understanding of object-oriented programming

Admission Fee & Financing

The admission fee for this Data Engineering course is $ 2,590 (Excluding VAT). It covers applicable program charges and the Purdue Alumni Association membership fee.

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.

Splitit

One Time Payment

Make hassle-free one-time payment with following options and save on admission fees

  • Credit Card
  • Paypal

$ 2,590

(Excluding VAT)

Apply Now

Program Benefits

  • Earn a program certificate upon completion
  • Exposure to prompt engineering, ChatGPT, generative AI etc
  • Purdue Alumni Association Membership from Purdue University
  • 50% annual growth in job openings
  • Active recruiters include Google, Microsoft, Amazon and more

Program Cohorts

Next Cohort

Other Cohorts

    • Date

      Time

      Batch Type

    • Program Induction

      5 Jan, 2024

      22:00 SST

    • Regular Classes

      6 Apr, 2024 - 21 Oct, 2024

      21:30 - 01:30 SST

      Weekend (Sat - Sun)

Got questions regarding upcoming cohort dates?

Data Engineering Course FAQs

  • What is Data Engineering?

    Data Engineering is an aspect of Data Science focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline and data processing systems by cleaning and wrangling it to ensure reliable data.

  • What are the eligibility criteria for this Post Graduate Program in Data Engineering in Singapore?

    For admission to this Post Graduate Program in Data Engineering in Singapore, candidates need:

    • A bachelor’s degree with an average of 50% or higher marks
    • 2+ years of work experience (preferred)
    • Basic understanding of object-oriented programming (preferred)

  • What is the admission process for this PG Program in Data Engineering in Singapore?

    The admission process consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist the candidates based on their application
    • An offer of admission will be made to the selected candidates and is accepted by the candidates by paying the program fee

  • Is there any financial aid provided?

    To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduate Program in Data Engineering in Singapore is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • What should I expect from the Purdue Post Graduate Program in Data Engineering in Singapore?

    As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:

    • Purdue Post Graduate Program certification
    • Industry recognized certificates from IBM and Simplilearn
    • Purdue Alumni Association membership
    • Lifetime access to all core elearning content created by Simplilearn 
    • $1,200 worth of IBM Cloud credits for your personal use

  • What certificates will I receive?

    Upon successful completion of this program in Singapore, you will be awarded a Post Graduate Program in Data Engineering certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.

  • What is the salary of a Data Engineer in Singapore?

    In Singapore, a Data Engineer can earn an average salary of SGD 61,914 per year, according to Glassdoor. Professionals who undertake Data Engineer Certification can earn more than that in Singapore.

  • Which companies in Singapore are hiring Data Engineers?

    Several companies in Singapore are on the lookout for experts in Data Engineering. According to Indeed, some of the top companies looking out for Data Engineers in Singapore are Apple, Facebook, DBS Bank, Facebook, Hewlett Packard Enterprise, Visa, etc.

  • I am not from a technical background. Can I still join this Data Engineering certification in Singapore?

    Yes, you can join the program even if you do not belong to a technical background. However, having a good hand at object-oriented programming languages will be beneficial.

  • How do i know if Simplilearn's Data Engineering certification course in Singapore is best for me?

    Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering course is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes this program just the right one for you!

  • Can I enroll in a Data Engineering certification course if I don't have any prior knowledge in Big Data and Data Engineering?

    Yes, you can enroll in the program even if you don’t have any prior knowledge in Big Data or Data Engineering since this course will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Engineering skills.

  • What are the different roles in Data Engineering?

    Upon completion of this Data Engineering certification course in Singapore, you can apply for various job roles like Big Data Engineer, Data Analyst, or a Data Warehouse Engineer.

  • What are the benefits of taking Simplilearn's Data Engineering course in Singapore?

    Certification validates your expertise in the field of Data Engineering. To add to that, getting a joint certification from a prestigious university, a world-renowned one like Purdue University is going to add recognition and stars to your CV. On the other hand, this Data Engineering course includes capstone projects and 14+ hands-on industry projects where you get to practice and implement the skills you learned throughout the program, and showcase your skills to your employer!

  • Is there any minimum educational qualification required to apply for this Data Engineering certification training?

    Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enrol in this Data Engineering certification course in Singapore.

  • What Data Engineer certifications will I receive?

    Upon successful completion of this PG program, you will be awarded a Post Graduate Program in Data Engineering joint certification by Simplilearn and Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.

  • Will I become alumni of Purdue University after completion of the Data Engineering certification training?

    Upon successful completion of the Data Engineering course in Singapore from Simplilearn, you will get a Purdue Alumni Association Membership.

  • How is Simplilearn’s Data Engineering Bootcamp different from other online courses available in the market?

    There are only a few courses in the market that offer a university degree along with industrial exposure through a renowned tech company. The program is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance. With so many features, our data engineering courses in Singapore are unique of its kind and you should consider taking it.

  • What are the major companies hiring for Data Engineering consultants in Singapore?

    Data Engineers have become integral to the research, planning, and operations in many industry sectors - market consultancy, IT, international trade, research labs, healthcare, and manufacturing. After Data Engineering training in Singapore, data engineers can develop and stimulate predictive modeling for organizations and companies like Micron Technology, Inc. and IBM.

  • How to become a Data Engineering expert in Singapore?

    To become an expert in Data Engineering and Big data, you must enroll in a professional certification program from a reputed university. With an industry-oriented curriculum, hands-on practice, and project-based learning, you will become professional in no time. With Instructors led Data Engineering courses in Singapore, you can earn certification.

  • How to Find Data Engineering courses in Singapore?

    There are many professional instructor-led or self-paced Data Engineering courses in Singapore. You can enroll in any professional program by first going online and searching the universities and institutes offering Data Engineering training in Singapore. Universities with industry collaboration for training offer industry-accepted reputed certification programs.

  • What are the major industries in Singapore?

    Singapore is a global financial services hub, an international trade center, major port, and global petroleum refining center. Singapore also has engineering, electronics manufacturing, IT services, and tourism companies and research labs in healthcare and biotechnology. All these sectors demand professionals with Data Engineering training in Singapore.

  • How will my doubts be addressed while pursuing this Data Engineering certification course?

    We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering certification course.

  • My current role does not include exposure to data. Does it make sense for me to opt for this Data Engineer Course?

    Data has taken the world by storm and the more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Engineer Course is only going to be an advantage.

  • Will any preparation material be provided to help me get started?

    Once you make the first installment of the program fee, you will also get access to Data Engineering modules with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Engineering on your first attempt. They proactively engage students to assure they’re following the course path and help enrich their learning experience, from class onboarding to project mentoring and job assistance.

  • Who are the instructors and how are they selected?

    Our highly qualified Data Engineering instructors are Big Data industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.

  • Will I be able to access the content after completion of the Data Engineering course?

    Yes, you can access the Data Engineering course content even after the completion of the program.

  • I am not able to access the Data Engineering Course modules. Who can help me?

    Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.

  • What is covered under the Data Engineering Course 24/7 Support promise?

    We offer 24/7 support through email, chat, and telephone. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Engineering certification course.

  • If I want to cancel my enrollment for this Data Engineering Course, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.

  • * Disclaimer

    Professional Certificate Program in Data Engineering is offered on a non-credit basis and is not transferable to a degree.

  • How will this Data Engineering certification course help me to start my career as a Data Engineer?

    Simplilearn’s Data Engineering certification course helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills employers seek when hiring for data engineering positions. They take you through crucial topics like the Hadoop framework, data processing with Spark, and Big Data on AWS with ease and you can follow them at your convenience.

  • What is the weekly time commitment expected from me for this Data Engineering course?

    You can dedicate around 5 to 10 hours per week to complete this Data Engineering course in 8 months. You can also change the study plan as per convenience.

  • Are there any system requirements to take up this Data Engineering certification course?

    There are no specific system requirements for this Data Engineering certification course. A working system connected to the internet is enough to access the course materials.

  • What should I study to become a Data Engineer?

    There are many skills employers seek for a data engineer position. You need to study about core math concepts, big data tools and techniques, data pipelines, data warehousing, data cleaning, Hadoop, basic programming, and Apache Spark to become a Data Engineer. Our Data Engineering certification course covers all of these areas in detail.

  • What is the Capstone Project all about and how exactly would it help me?

    Capstone projects are now a part of every reliable online certification course. They basically help individuals to reinforce their practical learning. Such projects involve real-world problems and individuals work on real-world data sets with virtual labs to gain hands-on learning experience and become job-ready.

  • What are the benefits of this Generative AI Masterclass?

    These masterclasses are delivered in the form of live virtual sessions by experienced industry experts. This delves deep into the world of AI-powered creativity, helping you understand multiple concepts & topics related to generative AI such as effective prompt engineering, ethical considerations in GenAI and much more. 

    You will gain exposure to the world of Gen AI, some of its practical applications, some of the latest advancements in the field and much more - thus setting you apart from your competitors and helping you stay ahead in your career.

Post Graduate Program in Data Engineering, Singapore

Singapore is a sovereign city-state in Southeast Asia and is located about 137 kilometers north of the equator, at the southern end of the Malay Peninsula.

Excellent healthcare services in Singapore make it a prominent medical tourism hub where about 200,000 foreigners seek medical care.

Singapore is also one of the largest financial hubs in Asia and the world, a thriving medical tourism center, and a key port and international trade center at the center of the Indian ocean - South China Sea route.

Singapore’s Orchard Road district has many multi-storey shopping centers, luxury hotels, and shopping arcades. A confluence of Malay, Chinese, Indian and Indonesian cultures is the hallmark of Singapore, with tourists coming to marvel at this wonder every year.

The fifth most-visited city globally, Singapore has landmarks like the Orchard Road shopping belt and the Singapore Botanic Gardens – a UNESCO World Heritage Site. Popular tourist attractions are the Singapore Zoo, River Safari, Night Safari, and Marina Bay Sands.

The Singapore Zoo is one of the largest open zoos in the world, where animals are separated by hidden moats. Some important tourist attractions in Singapore:

Our Singapore Correspondence / Mailing address

Simplilearn's Post Graduate Program in Data Engineering, Singapore

#14-302, The Plaza 7500A Beach Road Singapore 199591

View Location

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.