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Get ahead with the Post Graduate data engineer course in Kuala Lumpur in Data Engineering in collaboration with Purdue University and IBM. With this data engineer training in Kuala Lumpur, you will master top data engineering skills with real-world applications.
Application closes on
31 Mar, 2025Program duration
7 monthsLearning Format
Live, Online, InteractiveJoint program completion certificate from Purdue University Online and Simplilearn
Joint program completion certificate from Purdue University Online and Simplilearn
Gain access to Purdue’s Alumni Association membership on program completion
Learn courses that are aligned with AWS, Microsoft, and Snowflake certifications
Build your resume and highlight your profile to recruiters with our career assistance services.
The data engineer course in Kuala Lumpur primarily focuses on using the Hadoop framework for distributed processing, Spark for large-scale processing of data, and AWS, along with Azure cloud infrastructures for processing data. On completing this data engineer course in Kuala Lumpur, you equip yourself for a career in data engineering.
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.
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.
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.
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
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.
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.
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Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
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.
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.
Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.
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.
An Immersive Learning Experience
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.
Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.
Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.
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.
The Professional Certificate Program in Data Engineering caters to working professionals across different industries. Learner diversity adds richness to class discussions.
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.
Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you want to take this Data Engineering course
An admission panel will shortlist candidates based on their application
Selected candidates can begin the Data Engineering course within 1-2 weeks
For admission to this Data Engineering course, candidates should have:
The admission fee for this Data Engineering course is $1,790. It covers applicable program charges and the Purdue Alumni Association membership fee.
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.
$179/mo
You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.
Date
Time
Batch Type
31 Mar, 2025
21:30 MT
19 Apr, 2025 - 27 Oct, 2025
21:30 - 01:30 MT
WeekendSaSu
For admission to this Post Graduate Program in Data Engineering in Malaysia, candidates need:
The admission process consists of three simple steps:
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 Malaysia is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of this program in Malaysia, 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.
The average salary earned on completing the data engineering training in Kuala Lumpur is around RM 48,721. Data engineers frequently work in groups and office settings. Data engineers are in charge of converting computer algorithms into prototype code and preserving, organizing, and finding patterns in massive data sets.
Companies such as USAA, I2U Systems Inc, MSYS Inc, Buxton Consulting, Optello, and others hire data engineers with their Kuala Lumpur data engineering training. SQL database design, process documentation, communication skills, and working both individually and in groups are all expected talents of a data engineer.
Kuala Lumpur is a developed and heavily inhabited city. Kuala Lumpur's few primary sectors are electrical, electronics, optics, financial and insurance services, health and medical services, and oil and gas. Individuals who complete the data engineering course in Kuala Lumpur will have numerous opportunities to work with fast-growing sectors and companies.
A Data Engineer should know computer coding languages such as Python, Java, Kafka, Hive, and Storm. Data engineering training in Kuala Lumpur is necessary to oversee real-time business metric aggregation, data warehousing, querying, schema, data administration, and other responsibilities. Other abilities required include creating reports, dashboards, and tools for business users.
The most convenient way to locate a data engineering course in Kuala Lumpur is to look for online programs and institutions that provide such instruction. Before you begin, make sure you are familiar with the entire course format, fees, and level of education. Choose an academy in Kuala Lumpur that offers data engineer training with real-world experience.
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:
Yes, data engineers are expected to have basic programming skills in Java, Python, R or any other language.
After completing this program, you will be eligible for the Purdue University Alumni Association membership, giving you access to resources and networking opportunities even after earning your certificate.
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.
Malaysia's capital and federal territory, Kuala Lumpur, is spread over 243 km2 with a population of 1.73 million people in 2016. It is Malaysia's largest city with a tropical rainforest climate. According to the Economist Intelligence Unit's Global Liveability Ranking, Kuala Lumpur is ranked No. 70 globally and No. 2 in Southeast Asia behind Singapore.
Kuala Lumpur has been named the World Book Capital for 2020 by UNESCO. Kuala Lumpur is the cultural, financial, and economic capital of Malaysia. Three of the top ten retail malls in the world are located in the city. In 2019, the city's GDP was RM 244,210 million. Kuala Lumpur is one of the world's most popular tourist and shopping destinations, ranking as the world's sixth most visited city in 2019.
Kuala Lumpur is recognized for its ability to welcome visitors from all around the world. The city is ideal for those who want to spend their holiday's tranquility due to its excellent living amenities and public transportation. Historical sites, exhilarating adventure zones, religious sites, and serene parks may all be found in Kuala Lumpur. The most significant are as follows: