• Application closes on

    21 Oct, 2024
  • Program duration

    32 weeks
  • 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 engineer course in Pittsburgh focuses on Hadoop distributed processing, Spark large-scale data processing, Kafka data pipelines, and data processing on AWS and Azure cloud infrastructures. By completing this data engineer course in Pittsburgh, you will have everything you need to become a world-class data engineer.

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 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

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
     course learners from Microsoft, Pittsburgh
     course learners from Amazon, Pittsburgh
     course learners from IBM, Pittsburgh
     course learners from Accenture, Pittsburgh
     course learners from Deloitte, Pittsburgh
     course learners from Ericsson, Pittsburgh

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 want to take 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.

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 are the eligibility criteria for this Post Graduate Program in Data Engineering in Pittsburgh?

    For admission to this Post Graduate Program in Data Engineering in Pittsburgh, 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 Post Graduate Program in Data Engineering in Pittsburgh?

    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

  • 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 Pittsburgh 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 Pittsburgh?

    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 certificates will I receive?

    Upon successful completion of this program in Pittsburgh, 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 Pittsburgh?

    A data engineer earns around $88,654 on average every year in Pittsburgh. If you’re keen on earning higher salaries from top companies, you need to complete your data engineering training in Pittsburgh.

  • What are the major companies hiring for a data engineer in Pittsburgh?

    Companies need data engineers to build systems which can convert data they generate into useable information. As such, companies like Emerson and Radancy need candidate who have done their data engineering training in Pittsburgh.

  • How to become a data engineer in Pittsburgh?

    If you want to work as a data engineer, you will have to get the necessary qualifications. Completing your data engineering training in Pittsburgh is one of the prerequisites. During the course, you will be taught computer languages such as Azure that are required to do your job effectively.

  • How to find Big Data courses in Pittsburgh?

    Finding Big Data courses online won’t be all that hard. But to get the best out of your data engineering course in Pittsburgh, you need to choose a top university that can also give you the benefit of collaborating with industry leading companies.

  • What are the major industries in Pittsburgh?

    There are a number of major industries present in Pittsburgh. Candidates who have done their data engineering course in Pittsburgh can apply to companies from industries such as advanced manufacturing and financial services.

  • 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.

  • 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.

  • 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.

Professional Certificate Program in Data Engineering, Pittsburgh

Pittsburgh is located in the state of Pennsylvania. With nearly 300,000 residents, it is the second most populous city in the state, behind Philadelphia. It is known as the “Steel City” because there are over 300 steel-related companies in the Pittsburgh. It is no surprise, therefore, to find that it also has 446 bridges, giving the city its other name – “City of Bridges”.

Pittsburgh is not just about steel, though. It has a thriving arts and culture environment, going back to as far as the 19th century. It has a long tradition of jazz music as well, while it is also home to famous authors such as Gertrude Stein and Rachel Carson.

Pittsburgh, with its many bridges, hills and rivers, is one of the most scenic cities in the United States. There are a number of attractions and historic landmarks for tourists to go to. Some places to visit in Pittsburgh include:

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