• Application closes on

    7 Jul, 2025

  • 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.

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 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.

  • 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

  • Induction Session for Purdue Data Engineering Program

    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.

  • PC DE: Python Basics 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
  • PC DE: Database Management using SQL
    • 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.
  • PC DE: NoSQL Mastery with MongoDB
    • 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
  • PC DE: Big Data with Hadoop and Spark
    • 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
  • PC DE: AWS Tech Essentials

    • 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

  • PC DE: AWS Certified Data Engineer - Associate
    • 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
  • PC DE: Azure Fundamentals

    • 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

  • PC DE: Azure Data Engineer

    • 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

  • PC DE: Capstone

    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:
  • Generative AI Masterclass
    • 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.
  • PC DE: Snowflake SnowPro Core Certification
    • Snowflake structure
    • Overview and Architecture
    • Data protection features
    • Cloning
    • Time travel
    • Metadata and caching in Snowflake
    • Query performance
    • Data Loading
  • PC DE: Google Cloud Platform Fundamentals

    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.

  • PC DE: Version Control using Git

    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.

Contact Us

1-844-532-7688

( Toll Free )

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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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

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

    Sr. DevSecOps Engineer - Rhombus Power Inc.

  • Armando Galeana

    Armando Galeana

    20+ years of experience

    Founder and CEO - Ubhuru Technologies

  • Makanday Shukla

    Makanday Shukla

    15+ years of experience

    Principal Enterprise Architect - McKinsey

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Career Support

Simplilearn Career Assistance

Simplilearn’s Career Assist program, offered in partnership with Talent Inc, is a service that helps 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

30-day premium subscription to career.io

30-day premium subscription to career.io

Batch Profile

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

  • Industry
    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, San Jose
    course learners from Amazon, San Jose
    course learners from IBM, San Jose
    course learners from Accenture, San Jose
    course learners from Deloitte, San Jose
    course learners from Ericsson, San Jose

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:

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 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 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 the salary of a data engineer in San Jose?

    The demand for data engineers in San Jose has been increasing since 2018. On an average, a data engineer in San Jose earns $122,449. They are mainly responsible for organizing, maintaining and identifying trends from large data sets for sound decision-making in a company.

  • What are the major companies hiring data engineers in San Jose?

    The data engineers play an important role in organizations by providing meaningful insights for decision making. The prominent companies hiring data engineers in San Jose are Netflix, Wish, Credit Karma, Dropbox and eBay. Certified data engineers have various career opportunities in San Jose.

  • What are the major industries in San Jose?

    The major industries in San Jose are manufacturing, healthcare, and internet industries, which acts as a major contributor to the growth of San Jose’s GDP. The data engineering course training provides great opportunities for professionals aspiring to build their career in this field.

  • 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

  • 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.

  • 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.

Professional Certificate Program in Data Engineering, San Jose

The total population of San Jose is 1021795, which makes it tenth most populous city in the USA and third-most in California. San Jose is the largest city in Northern California covering an area of 179.97 square miles. The CSA of San Jose and San Francisco has a total GDP per capita of $106757 in 2018 both combined.

San Jose has the most pleasant climate with warm to hot summers and mild cold winters. The other name of San Jose is Silicon Valley as it is technologically rich. This city has the highest number of millionaires and billionaires. San Jose is epicenter of culture and technology, this makes it a beautiful city to visit and explore

San Jose has a lot of attractions and exceptional places to visit and explore. San Jose is majorly known for world class shopping experience, museums, peaceful parks for walk and historical places. It has numerous weekend getaway places where one can have fun with their families. Some of the best must visit place in San Jose are:

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  • 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.