• Next Cohort starts: 25 Aug, 2025Limited no. of seats available
  • Program Duration: 12 monthsAt 5-10 hours/week
  • Live, Online, InteractiveLearning Format

Why Join this Program

Earn an Elite Certificate

Earn an Elite Certificate

Joint program completion certificate from Purdue University Online and Simplilearn

Leverage the Purdue Edge

Leverage the Purdue Edge

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

Certification Aligned

Certification Aligned

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

Career Assistance

Career Assistance

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

Data Engineering Course Overview

This Data Engineering course is ideal for professionals and equips you with Python, SQL, NoSQL, Big Data, Snowflake, AWS, Azure & GCP fundamentals. Prepare for in-demand certifications (AWS, Azure & Snowflake) and build your portfolio using the Capstone project.

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 Certificate Advantage

This data engineering course 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.

Partnering with Purdue University

This Data Engineering post graduate in partnership with Purdue University, one of the world's leading research and teaching institutions, offers higher education at the highest proven value. We are committed to your success, changing the student experience with a focus on collaboration and the creative use of technology.

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Partnering With Purdue University
  • Receive a joint Purdue-Simplilearn certificate
  • An opportunity to get Purdue’s Alumni Association membership
Program Certificate

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.

  • In this comprehensive course, you will master procedural and object-oriented programming concepts, Python installation, Jupyter Notebook utilization, identifier implementation, data types, loops, variable scope, and object-oriented programming characteristics. You will also gain proficiency in Python fundamentals and advance your skills in OOP with practical exercises and guidance.

  • Acquire essential knowledge for effectively working with SQL databases and leveraging them in your applications. Throughout the course, you will gain a solid understanding of SQL statements, conditional statements, commands, joins, subqueries, and various functions, empowering you to manage your SQL database for scalable growth.

  • This comprehensive MongoDB course covers the fundamentals of NoSQL databases and MongoDB, including data modeling, hands-on labs, advanced features, and integration with data engineering pipelines. You will explore document structure, scalability, indexing, security, data management, and pipeline design. By the end of this course, you will master MongoDB for efficient data storage, retrieval, and processing in real-world scenarios.

  • Master the concepts of the Hadoop framework, big data, and Hadoop ecosystem tools such as HDFS, YARN, MapReduce, Hive, Impala, Pig, HBase, Spark, Flume, and Sqoop, as well as additional concepts of the big data processing life cycle.

  • Learn how to navigate the AWS management console, understand AWS security measures, storage, and database options, and gain expertise in web services like RDS and EBS. This course also helps you become proficient in identifying and efficiently using AWS services.

  • This course equips you with the skills to design, develop, and maintain data pipelines on the AWS cloud platform. By completing it, you'll be well-positioned to take the AWS Certified Data Engineer—Associate exam and launch a rewarding career in cloud data engineering.

  • This course covers the main principles of cloud computing and how they have been implemented in Microsoft Azure. You will work on the concepts of Azure services, security, privacy, compliance, trust, pricing, and support and learn how to create the most common Azure services, including virtual machines, web apps, SQL databases, features of Azure Active Directory, and methods of integrating it with on-premises.

  • This course will focus on data-related implementation, including provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources. Prepare for the Microsoft DP 203 certification exam with this course.

  • The data engineering capstone project will allow you to implement the skills you learned throughout this program. You’ll learn how to solve real-world, industry-aligned data engineering challenges through dedicated mentoring sessions, from setting up configuration, ETL, data streaming, and data analysis to data visualization. This project is the final step in the learning path and will enable you to showcase your expertise in data engineering to future employers.

Electives:
  • This course covers concepts such as Snowflake structure, data protection features, SQL support, metadata, caching, query performance, data loading, functions, procedures, security management, access control, semi-structured data querying, data sharing, virtual warehouse scaling, and cost management. You will gain practical skills in connecting to Snowflake, optimizing query performance, managing data loading processes, implementing security measures, and leveraging advanced features.

  • 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.

  • Attend live generative AI masterclasses and learn how to leverage it to streamline workflows and enhance efficiency. Dive deep into AI-powered creativity and how it can improve business processes in these industry expert-led classes.

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 datasets from organizations.

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Data Engineering Course Advisor

  • 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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Learner's 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
    Microsoft
    Amazon
    IBM
    Accenture
    Deloitte
    Ericsson

Data Engineering Course Learner Reviews

  • Craig Wilding

    Craig Wilding

    Data Administrator

    My instructor was incredibly knowledgeable, bringing vast industry experience to each session. His clear delivery made the content easy to understand and apply. Thanks to this, I feel more confident as I work towards advancing my career in the United States. Simplilearn truly set me up for success!

  • Joseph (Zhiyu) Jiang

    Joseph (Zhiyu) Jiang

    I completed Simplilearn's Professional Certificate Program in Data Engineering, with Purdue University. I gained knowledge on critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data, and more. The live sessions, industry projects, masterclasses, and IBM hackathons were very useful.

  • Asghar Zubair

    Asghar Zubair

    Technology Lead Data Engineer

    The course is well-structured, with expert instructors and an industry-relevant data engineering curriculum. I now confidently handle Big Data projects and lead a team. Upskilling helped me switch domains, get a salary hike, and become a certified Big Data engineer, in the United States.

  • Rakshith S V

    Rakshith S V

    Database Specialist, Database Architect, TDM Consultant

    After completing the data engineering course, I was able to switch within the organization from a DBA (Database Administrator) to a Test Data Architect. I was also able to grab a 15% salary hike.

  • Ankita C

    Ankita C

    Technical consultant

    The engaging teaching methods made all the topics interesting and contributed to my successful learning experience. After finishing the data engineering course, I received many calls from recruiters. What started as a journey to expand my knowledge eventually transformed my career. I landed a new job at VMWare with a 110% salary increase.

  • Rishabh Tiwari

    Rishabh Tiwari

    Data Engineer

    I am thrilled to share that I have completed my Post Graduate Program in Data Engineering with Simplilearn in collaboration with Purdue University. Special thanks to my instructors, Indra Bhushan, Amit Singh and Deepak Sharma for being awesome mentors throughout this course.

  • Vignesh Balasubramanian

    Vignesh Balasubramanian

    Senior Operations Professional at IBM

    The curriculum was well organized, covering all the root concepts and relevant real-time experience. The trainer was well equipped to solve all the doubts during the training. Cloud lab facility and materials provided were on point.

  • Rajesh Dubey

    Rajesh Dubey

    Simplilearn is a great learning platform for aspirants. It provides online learning with global intellectual faculties. It offers unparallel service and is the best place to attain professional knowledge and grow in one's career. I am very, very thankful to Simplilearn.

  • Md Azhar Hussain

    Md Azhar Hussain

    This platform has enhanced my knowledge of big data and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor's in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.

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Why Join this Program

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

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.

Submit Application

Tell us why you want to take this Data Engineering course

Reserve Your Seat

An admission panel will shortlist candidates based on their application

Start Learning

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

ELIGIBLE CANDIDATES

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

Preferably, have 2+ years of work experience

Have a High School Diploma/ Bachelor's Degree or equivalent

Basic understanding of programming concepts and mathematics

ADMISSION COUNSELORS

Our team of dedicated admissions counselors is available to guide you as you apply to the course. Our counselors are available to:

  • Address questions related to your application
  • Provide guidance regarding financial aid (if required)
  • Help answer questions and understand the program
Talk to our admissions counselors now!

Admission Fee & Financing

The admission fee for this Data Engineering course is $1,790. 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

$1,790

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 is Data Engineering?

    Data engineering is an aspect of data science focused on the practical application of data collection and pipelining. It involves designing and building systems to collect and analyze data in its raw form from a variety of sources.

    A Data engineer builds data warehouse, data models, manage data pipelines and processing systems by cleaning out these raw data clusters and deriving meaningful information from them to help make better business decisions.

  • What is the Purdue and Simplilearn partnership about?

    Purdue University Online has partnered with Simplilearn to offer online professional programs that blend academic expertise with Simplilearn’s immersive, hands-on learning model. The programs are delivered by industry experts to ensure learners gain practical, job-ready skills aligned with current market needs.

  • What does a Data Engineer do?

    With organizations relying heavily on data to drive growth today, data engineering is becoming a more popular skill. Data engineers are tasked with designing a system to unify multiple sources of business data in a meaningful and accessible way. The typical role of data engineers includes:

    • Acquiring big data sets from different data warehouses
    • Cleaning those big data sets and finding any errors
    • Removing any form of duplications that may occur
    • Converting the cleaned data into a readable format
    • Interpreting data to provide reliable information for better decisions

  • What are the benefits of taking this Data Engineering Certificate Course?

    This comprehensive data engineering course from Purdue University Online and Simplilearn is designed to provide an introduction to data, a detailed view of the domain and equip you with the skills and techniques to succeed in it. Our course integrates data warehousing, data lakes, and data engineering pipelines to create a comprehensive and scalable data architecture. 

    Some of the benefits of this course include:

    • Joint certificate from Purdue University Online and Simplilearn
    • Courses aligned with Microsoft, AWS, and Snowflake certifications
    • Eligibility for Purdue's Alumni Association Membership
    • Live sessions on the latest AI trends, like generative AI, prompt engineering and explainable AI

  • Who are the instructors for this Data Engineering Certificate Program, and how are they selected?

    Instructors for this data engineering course are industry professionals with extensive experience in the field. They are selected based on their expertise, teaching ability, track record and credentials in the field. The selection process includes rigorous vetting to ensure they can provide high-quality education and real-world insights for the best learning experience.

  • How do I enroll in the Data Engineering Course?

    The admission process for data engineering course consists of three simple steps:

    • First, candidates must submit an application detailing their motivation for the course. 
    • Next, an admission panel will review the applications and shortlist candidates based on their submissions. 
    • Finally, selected candidates can begin learning within 1-2 weeks. 

    Please note that upon selection, candidates must pay the course fee using any preferred payment option available before beginning their learning journey.

  • 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 will be the career path after completing the Data Engineering Course?

    Designing and building data applications is very well regarded in the industry. While becoming a data engineer would be the most obvious route after completing this course, there are several other career paths you could choose:

    • Big Data Engineer: Work with big data technologies like Hadoop and Kafka to manage data processing tasks.
    • Data Architect: Design and manage an organization's data architecture, ensuring integrity and security.
    • Data Analyst: Effectively analyze and interpret complicated data sets to make informed decisions.
    • Business Intelligence Developer: Create and manage BI solutions using dashboards and reports.

  • Do Data Engineers require prior coding experience?

    Yes, data engineers are expected to have basic programming skills in Java, Python, R or any other language.

  • Can I apply for this data engineering course with no technical background?

    Yes, you can join this data engineering course even with no technical background. However, it's recommended that you have a basic understanding of object-oriented programming languages and at least two years of relevant work experience.

  • Which are the top industries suitable for Data Engineering professionals?

    Organizations around the world are looking for ways to leverage data to enhance services, making data engineers a sought-after asset. That being said, some of the more popular industries for data engineers include:

    • Medicine and healthcare
    • Banking
    • Information technology
    • Education
    • Retail
    • Ecommerce

  • What is the refund policy for this Data Engineering Course?

    To learn more, please read our refund policy.

  • Are there any other online courses Simplilearn offers under Data Science?

    Absolutely! Simplilearn offers plenty of options to help you upskill in Data Science. You can take advanced certification training courses or niche courses to sharpen specific skills. Whether you want to master new tools or stay ahead with the latest trends, there's something for everyone. These courses are designed to elevate your knowledge and keep you competitive in the Data Science field.

    Similar programs that we offer under Data Science:

  • Will missing a live class affect my ability to complete the course?

    No, missing a live class will not affect your ability to complete the course. With our 'flexi-learn' feature, you can watch the recorded session of any missed class at your convenience. This allows you to stay up-to-date with the course content and meet the necessary requirements to progress and earn your certificate. Simply visit the Simplilearn learning platform, select the missed class, and watch the recording to have your attendance marked.

  • 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.

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

    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.

  • Does Simplilearn have corporate training solutions?

    Yes, Simplilearn for Business offers learning solutions for the latest AI and other digital skills, including industry certifications. For talent development strategy, we work with Fortune 500 and mid-sized companies with short skill-based certification training and role-based learning paths. We also offer a learning library with unlimited live and interactive solutions - Simplilearn Learning Hub+, which is accessible to your entire workforce. Our team of curriculum consultants works with each client to select and deploy the learning solutions that best meet their teams’ requirements.

  • Are Simplilearn’s courses eligible for reimbursement by my employer?

    Yes, Simplilearn’s Professional Certificate Program in Data Engineering, offered in collaboration with Purdue University, is eligible for employer reimbursement. We'd recommend confirming the specific terms of educational benefits or tuition assistance programs with your HR department or employer. Purdue University also accepts tuition vouchers, which can streamline reimbursement.

    To claim your reimbursement, Simplilearn offers completion certificates, detailed receipts, and course breakdowns, which can be submitted to your employer or HR department.

  • Can I change my cohort after enrolling in the program?

    Yes. You are eligible for one complimentary cohort change within the first 60 days of your enrollment. If you cannot continue in your current cohort or have already used your complimentary change, you may request an additional cohort transfer by paying the applicable fee. For details on the process and support with your request, please contact our support team.

  • Can I get an extension if I need more time to complete the program?

    Yes. If your program access has expired and you still have pending assignments or projects, you can request either an extension of 30 days OR 3 months by paying a nominal fee. During this extension, you can access recorded sessions from the current cohort and complete your remaining learning requirements.

  • 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.