• Application closes on

    29 Dec, 2024
  • Program duration

    7 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

  • icons
    Earn an Elite Certificate

    Joint program completion certificate from Purdue University Online and Simplilearn

    Joint program completion certificate from Purdue University Online and Simplilearn

  • icons
    Leverage the Purdue Edge

    Gain access to Purdue’s Alumni Association membership on program completion

  • icons
    Certification Aligned

    Learn courses that are aligned with AWS, Microsoft, and Snowflake certifications

  • icons
    Career Assistance

    Build your resume and highlight your profile to recruiters with our career assistance services.

Corporate Training

Enterprise training for teams

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

  • Program completion certificate from Purdue University Online and Simplilearn
  • Access to Purdue’s Alumni Association membership on program completion
  • 150+ hours of core curriculum delivered in live online classes by industry experts
  • Capstone from 3 domains and 14+ projects with Industry datasets from YouTube, Glassdoor, Facebook, etc.
  • Aligned with Microsoft DP 203, AWS Certified Data Engineer - Associate, and SnowPro® Core Certification
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Case studies on top companies like Uber, Flipkart, FedEx, Nvidia, RBS and Netflix
  • Learn through 20+ tools to gain practical experience
  • 8X higher live interaction in live Data Engineering online classes by industry experts

Data Engineering Course Advantage

This data engineering program equips you with the latest tools (Python, SQL, Cloud, Big Data) to tackle complex data challenges. Master data wrangling, build data pipelines, and gain Big Data expertise (Hadoop, Spark) through this program.

  • Program Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • An opportunity to get Purdue’s Alumni Association membership

Data Engineering Course Details

Fast-track your career as a data engineering professional with our course. The curriculum 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.

    • Procedural and OOP understanding
    • Python and IDE installation
    • Jupyter Notebook usage mastery
    • Implementing identifiers, indentations, comments
    • Python data types, operators, string identification
    • Types of Python loops comprehension
    • Variable scope in functions exploration
    • OOP explanation and characteristics
    • Databases and their interconnections.
    • Popular query tools and handle SQL commands.
    • Transactions, table creation, and utilizing views.
    • Execute stored procedures for complex operations.
    • SQL functions, including those related to strings, mathematics, date and time, and pattern matching.
    • Functions related to user access control to ensure the security of databases.
    • Understanding MongoDB
    • Document structure and schema design
    • Data modeling for scalability
    • CRUD operations and querying
    • Indexing and performance optimization
    • Security and access control
    • Data management and processing
    • Integration and scalability
    • Developing data pipelines
    • Monitoring and performance optimization
    • Hadoop ecosystem and optimization
    • Ingest data using Sqoop, Flume, and Kafka
    • Partitioning, bucketing, and indexing in Hive
    • RDD in Apache Spark
    • Process real-time streaming data
    • DataFrame operations in Spark using SQL queries
    • 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

    • Data engineering fundamentals
    • Data ingestion and transformation
    • Orchestration of data pipelines
    • Data store management
    • Data cataloging systems
    • Data lifecycle management
    • Design data models and schema evolution
    • Automate data processing by using AWS services
    • Maintain and monitor data pipelines
    • Data Security and Governance
    • authentication mechanisms
    • authorization mechanisms
    • data encryption and masking
    • Prepare logs for audit
    • data privacy and governance
    • 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 the course, you can showcase your newly acquired skills in a hands-on, industry-relevant capstone project that combines everything you learned in the program into one portfolio-worthy example. You can work on 3 projects to make your practice more relevant.

Electives:
    • Attend live generative AI masterclasses and learn how to leverage it to streamline workflows and enhance efficiency.
    • Conducted by industry experts, these masterclasses delve deep into AI-powered creativity.
    • Snowflake structure
    • Overview and Architecture
    • Data protection features
    • Cloning
    • Time travel
    • Metadata and caching in Snowflake
    • Query performance
    • Data Loading
  • The GCP Fundamentals course will teach you to analyze and deploy infrastructure components such as networks, storage systems, and application services in the Google Cloud Platform. This course covers IAM, networking, and cloud storage and introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform.

  • This course introduces Source Code Management (SCM), focusing on Git and GitHub. Learners will understand the importance of SCM in the DevOps lifecycle and gain hands-on experience with Git commands, GitHub features, and common workflows such as forking, branching, and merging. By the end, participants will be equipped to efficiently manage and collaborate on code repositories using Git and GitHub in real-world scenarios.

12+ 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

17+ 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 datasets from 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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Batch Profile

The Professional Certificate Program in Data Engineering caters to working professionals across different industries. Learner diversity adds richness to class discussions.

  • 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

Alumni Review

I’m Christian Lopez, a Cognitive Neuroscience graduate from UC San Diego, now working as a data scientist at a leading Las Vegas bank. With skills in data wrangling, machine learning, and big data, I joined Purdue's PGP in Data Engineering via Simplilearn to boost my career. The program was top-notch, and I enjoyed every module. It provided me with new projects at work and a 10% salary hike. My goal is to specialize in AWS Data Analytics and transition into cloud engineering. 

Christian Lopez

Data Scientist - Data Strategy & Governance

What other learners are saying

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 want to take this Data Engineering course

STEP 2

Reserve Your Seat

An admission panel will shortlist candidates based on their application

STEP 3

Start Learning

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 $ 1,790 (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.

Total Program Fee

$ 1,790

Pay In Installments, as low as

$ 179/mo

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

Apply Now

Program Benefits

  • Program Certificate from Purdue Online and Simplilearn
  • Access to Purdue’s Alumni Association membership
  • Courses aligned with AWS, Azure, and Snowflake certification
  • Case studies on top firms like Uber, Nvidia, RBS and Netflix
  • Active recruiters include Google, Microsoft, Amazon and more

Program Cohorts

Next Cohort

Got questions regarding upcoming cohort dates?

Data Engineering Course FAQs

  • 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.

  • What is the average salary of a Data Engineer?

    Today, small and large companies depend on data to help answer important business questions. Data engineering plays a crucial role in supporting this process, making it possible for others to inspect the data available reliably making them important assets to organizations, earning lucrative salaries worldwide. Here are some average yearly estimates:

    • India: INR 10.5 Lakhs
    • US: USD 131,713
    • Canada: CAD 98,699
    • UK: GBP 52,142
    • Australia:AUD 118,000

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

    We offer 24/7 support through chat for any urgent issues. For other queries, we have a dedicated team that offers email assistance and on-request callbacks.

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:

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