• Admission Date Announcing Soon
  • Program Duration 8 months
  • Learning Format Self-Paced Learning

Why Join this Program

Purdue’s Academic Excellence

Purdue’s Academic Excellence

Joint certificate from Purdue university and Simplilearn

IBM’s Industry Prowess

IBM’s Industry Prowess

Obtain IBM certificates for IBM courses and get access to masterclasses by IBM

Career Assistance

Career Assistance

Build your resume and prepare for interviews with valuable insights from industry experts

Hands-on Experience

Hands-on Experience

14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Engineering Course Overview

This Data Engineer Course in New York City 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 New York City.

Key Features

  • Simplilearn Career Service helps you get noticed by top hiring companies
  • Post Graduate Program Certificate and Alumni Association membership
  • Exclusive Master Classes and Ask me Anything sessions by IBM
  • Live sessions on the latest AI trends, such as generative AI, prompt engineering, explainable AI, and more
  • Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
  • IBM certificates for IBM courses
  • 8X higher live interaction in live Data Engineering online classes by industry experts

Data Engineering Course Advantage

This Data Engineering postgraduate program in partnership with Purdue University leverages Purdue’s academic excellence & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.

  • Purdue Certificate

    Partnering with Purdue University

    • Receive a joint Purdue-Simplilearn certificate
    • Purdue Alumni Association membership
  • IBM Certificate

    Program in Collaboration with IBM

    • Industry-recognized IBM certificates for IBM courses
    • Industry masterclasses conducted by IBM
    • Exclusive hackathons and Ask Me Anything (AMA) Sessions with IBM leadership

Data Engineering Course Details

Fast-track your career as a Data Engineering professional with our Data Engineering course. This course 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.

    • Learn the essentials of Python programming
    • Understand the concepts of SQL and NoSQL
    • Learn how to navigate the Hadoop ecosystem and understand how to
    • optimize its use
    • Ingest data using Sqoop, Flume, and Kafka
    • Implement partitioning, bucketing, and indexing in Hive
    • Work with RDD in Apache Spark
    • Process real-time streaming data
    • Perform DataFrame operations in Spark using SQL queries
    • Implement 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

    • Understand how to use Amazon EMR for processing the data using

    • Hadoop ecosystem tools

    • Understand how to use Amazon Kinesis for Big Data processing in

    • real-time and analyze and transform Big Data using Kinesis Streams

    • Visualize data and perform queries using Amazon QuickSight.

    • 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 Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.

Electives:
    • Create your first Python program using variables, strings, functions, loops, and conditions.

    • Understand and apply concepts related to lists, sets, dictionaries, conditions, branching, objects, and classes in Python.

    • Utilize the Pandas library to load, manipulate, and save data and read and write files in Python.

    • Understand how to leverage the functionality of Python
    • Master Apache Spark architecture and how to set up a Python environment for Spark
    • Learn about various techniques for collecting data, understand RDDs and how to contrast them with DataFrames,
    • Obtain knowledge of various tools that fall under the Spark ecosystem, such as Spark SQL, Spark MlLib, Sqoop, Kafka, Flume, and Spark Streaming
    • Create and explore various APIs to work with Spark DataFrames and learn how to aggregate, transform, filter, and sort data
    • Describe the importance of big data

    • Describe the fundamental concepts of Kafka

    • Describe the architecture of Kafka

    • Explain how to install and configure Kafka

    • Explain how to use Kafka for real-time messaging

    • Develop expertise in writing Java and NodeJS applications using MongoDB
    • Perform installation, configuration, and maintenance of the MongoDB environment
    • Get hands-on experience creating and managing different types of indexes in MongoDB for query execution
    • Proficiently store unstructured data in MongoDB
    • Develop skill sets for processing vast amounts of data using MongoDB tools
    • Gain proficiency in MongoDB configuration, backup methods, and monitoring.
  • This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.

    • Gain a comprehensive understanding of Java
    • Learn how to use operators in Java
    • Learn about loops in Java
    • The course covers methods in Java.
    • Understand how to work with constructors in Java
    • Gain an understanding of the JUnit framework
  • Industry Master Class – Data Engineering

  • Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.

  • Attend this live online immersive masterclass on Generative AI designed to empower participants with the knowledge and skills to harness its incredible potential. These cutting-edge masterclasses are conducted by industry experts and delve deep into the world of AI-powered creativity, helping you to understand various concepts & topics related to generative AI.

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 data-sets of the mentioned 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

Join the Data Engineering Domain

The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)

Job Icon11.5 M

Expected New Jobs For Data Analytics And Science Related Roles

Source: US bureau of Labor
Job Icon50%

YOY Growth For Data Engineer Positions

Source: Dice 2020 report
Job Icon$76-$200K

Average Annual Salary

Source: Glassdoor

Batch Profile

This Data Engineering postgraduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.

  • 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, New York City
     course learners from Amazon, New York City
     course learners from IBM, New York City
     course learners from Accenture, New York City
     course learners from Deloitte, New York City
     course learners from Ericsson, New York City

Learner Reviews

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’d want to do this Data Engineering course

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

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.

Pay in Installments

You can pay monthly installments for Post Graduate Programs using Splitit, ClimbCredit or Klarna payment option with low APR and no hidden fees.

ClimbCreditKlarna

Other Payment Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

$ 3,850

Apply Now

Program Benefits

  • Earn a program certificate upon completion
  • Exposure to prompt engineering, ChatGPT, generative AI etc
  • Purdue Alumni Association Membership from Purdue University
  • 50% annual growth in job openings
  • Active recruiters include Google, Microsoft, Amazon and more

Program Cohorts

There are no cohorts available in your region currently

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 data pipelining. A Data Engineer builds and maintains the organization’s data pipeline and data processing systems by cleaning and wrangling it to ensure reliable data.

  • What are the eligibility criteria for this Post Graduate Program in Data Engineering in NYC?

    For admission to this Data Engineering Course in NYC, 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 NYC?

    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

  • What are the financial aids available to enroll in this Data Engineering course?

    We have partnered with Affirm to provide competitive financing options (EMI option available) including 0%APR with no hidden costs for different tenures.

  • 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 NYC 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 NYC?

    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 Data Engineer certificates will I receive?

    Upon successful completion of this Data Engineering course in NYC, 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 New York?

    The average salary earned by the Data Engineer in New York is $104,210 per year according to Payscale. The professional on completing a Data Engineer certification course in New York can get various job opportunities. Polishing the skills, developing and translating computer algorithms into prototype code, and maintaining, organizing, and identifying trends, is one of the courses in high demand.

  • What are the major companies hiring Data Engineers in New York?

    Several companies in NYC are on the lookout for experts in Data Engineering. According to Indeed, some of the top companies looking out for Data Engineers in NYC are The New York Times, Amazon, Facebook, Spotify, Comcast, KPMG and many more.

  • I am not from a technical background. Can I still join this Data Engineering certification in New York City?

    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 New York City is best for me?

    Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering course in New York City 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 New York City, you can apply for various job roles like Big Data Engineer, Data Analyst, or a Data Warehouse Engineer.

  • What are the benefits of taking this Data Engineering course?

    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, Simplilearn's Data Engineering course in New York City 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!

  • What are the prerequisites before taking this Data Engineering course in New York City?

    You will be preferred over other candidates if you have at least 2 years of industry experience. On the other hand it is mandatory to have a bachelor’s degree with an average of 50% or higher marks, and it is always an added factor if you have a basic understanding of object-oriented programming.

  • 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 New York City.

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

    Upon successful completion of Simplilearn's Data Engineering certification course in New York City, you will get a Purdue Alumni Association Membership.

  • How will this Data Engineering course help me to start my career as a Data Engineer?

    Simplilearn’s PGP in Data Engineering in New York City helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills do employers seek when hiring for data engineering positions. They take you through crucial topics like the Hadoop framework, data processing with Spark, and Big Data on AWS with ease and you can follow them at your convenience.

  • 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. Simplilearn's Data Engineering course in New York City is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance. With so many features, our data engineering courses are unique of its kind and you should consider taking it.

  • What are the major industries in New York?

    The powerhouse of the USA, New York is the city with the most influential industries. The major industries operating here include finance, technical, education, hospitality, healthcare, and tourism. With the increasing need for better data analysis and development, the demand for those who have completed Data Engineer training in New York is quite high.

  • What is the average salary of a Data Engineer?

    Data Engineers command lucrative salaries worldwide. They earn an average annual salary of Rs. 887,206 in India, £43,082 in the UK, $96,659 in the US, CA $85,228 in Canada, and AU$99,659 in Australia.

  • Will any preparation material be provided to help me get started?

    Once you pay the first installment of the program fee, you will also get access to Data Engineering modules with eight to ten hours of self-paced learning content in the form of videos. This material gives you an introduction to data along with giving you and overview of the course modules. You must complete the assigned course before attending the first class.

  • What is the weekly time commitment expected from me for this Data Engineering course?

    You can dedicate around 5 to 10 hours per week to complete this Data Engineering course in 8 months. You can also change the study plan as per convenience.

  • Who are the instructors, and how are they selected?

    Our team of Data Engineering instructors is comprised of industry experts with years of relevant industry experience in topics such as big data, data structures, data modeling, and data management. Each instructor has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before being certified to train for us.

    In this course, our instructors will cover basic topics like introduction to data to tongue ones like data engineering pipelines. We also ensure that only trainers with a high alum rating remain part of our faculty.

  • Can I get a refund if I want to cancel my enrollment for this Data Engineering Course?

    Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.

    * Disclaimer: Professional Certificate Program in Data Engineering is offered non-credit and is not transferable to a degree.

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

    Our committed team is here to assist you through email, chat, calls, and community forums. On-demand support is available to guide you throughout your journey. Once you finish the data engineering course, you will gain lifelong access to our community forum.

  • What is Global Teaching Assistance?

    Our team of skilled teaching assistants and subject matter expert data scientists are committed to helping you master the data engineering course successfully on your initial try. They enhance your learning journey by supporting you with class onboarding, project mentoring, and job guidance. Available during business hours, they are here to respond to your inquiries and aid you in finishing your data engineering course.

Professional Certificate Program in Data Engineering, NYC

Covering an area of 302.6 square miles with Brooklyn, Queens, Manhattan, the Bronx, and Staten Island as the five primary boroughs of New York is one of the biggest metropolises. According to 2019 figures, the population of New York was 8336817 and had been steadily increasing since. Additionally, New York contributed around $1.751 trillion to GDP and $90,043 to GDP per capita in 2019.

Being the most photographed place, New York offers a humid subtropical climate to all its visitors. The highest natural peak in the beautiful state of New York is Todt Hill, which is 401 feet tall. New York is also the world's largest financial center, the most powerful city economically, the city with the most comprehensive network of public colleges, and the city where the United Nations headquarters are located.

New York, commonly known as the Big Apple, is well-renowned for its incredible lifestyle and lanes. With its magnificent streets, majestic buildings, quiet beaches, interesting museums, observatories, relaxing parks, and entertainment zones to explore, New York is very beautiful. The following are some of the top things to see and do in New York:

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