• Application closes on

    14 Dec, 2024
  • Program duration

    7 months
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Earn an Elite Certificate

    Joint program completion certificate from Purdue University Online and Simplilearn

    Joint program completion certificate from Purdue University Online and Simplilearn

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    Leverage the Purdue Edge

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

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    Certification Aligned

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

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    Career Assistance

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

Take the first step to your goals

Lifetime access to self-paced e learning content

Corporate Training

Enterprise training for teams

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

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • 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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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service to help you to be career ready for the workforce and land your dream job in U.S. markets.
One-on-one Interview Service by TopInterview

One-on-one Interview Service by TopInterview

Get a Resume Makeover from TopResume

Get a Resume Makeover from TopResume

Reach numerous employers with ResumeRabbit

Reach numerous employers with ResumeRabbit

Complete Candidate Confidentiality Assured

Complete Candidate Confidentiality Assured

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
    Microsoft
    Amazon
    IBM
    Accenture
    Deloitte
    Ericsson

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 $ 3,850. 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

$ 3,850

Pay In Installments, as low as

$ 385/month

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR 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 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 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 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, 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.

  • Disclaimer
  • 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.