• Admission closes

    Apr 7, 2025
  • Program Duration

    7 months
  • Learning Format

    Live, Online, Interactive

Key Features

  • Partnership With Purdue University Online

    Program certificate from Purdue University Online and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Learn from the Experts

    Core curriculum delivered in live online classes by industry experts

    Learn practical skills from expert instructors through integrated labs

  • Practical & Industry Relevant Curriculum

    Courses aligned with Microsoft, AWS, and Snowflake certifications

    10+ hands-on projects and 3 capstone projects to build your portfolio

  • Simplilearn Career Service

    Resume-building assistance to create a powerful resume

    Reach out to top recruiters through our career service

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Career Opportunities

  • Data Engineer
  • Data Architect
  • Cloud Data Architect

A data engineer is the architect of the data world, building pipelines to transform raw data into usable formats that fuel data analysis and drive business decisions. They are the bridge between data scientists and the massive datasets that unlock valuable insights.

Hiring Companies
IBM
Amazon
Microsoft
Netflix
Apple
Google
Average Salary
$119KMin
$155KAverage
$274KMax

Essentials Skills You will Develop

  • Apache Hadoop
  • Big Data Analytics
  • Data Governance and Compliance Controls
  • Data Pipelining
  • Data Protection
  • Data Visualization
  • Encryption Techniques
  • Implementing Security Requirements
  • Ingesting Streaming and Batch Data
  • Provisioning data storage services
  • Real Time Data Processing
  • Transforming Data

Earn Professional Certifications

Program CertificateProgram Certificate
Program Certificate
  • Program certificate from Purdue University Online and Simplilearn
  • Become eligible for a membership at the Purdue Alumni Association
  • Practical exposure to data engineering tools

Program Curriculum

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.

  • 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
  • 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.

  • 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.

Contact Us

+1-844-532-7688

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17+ Tools Covered

Amazon EMR
Amazon Quicksight
Amazon Redshift
Amazon Sagemaker
kafka
mongodb
python
scala
spark.
Azure Blob Storage
azure cosmos db
Azure Data Factory
Azure Data Lake
Azure Databricks
Azure Stream Analytics
Azure Synapse Analytics
azure SQL database

Industry Projects

Program Advisor

Program Trainers

Still have questions?

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Total Program Fee

Program Fee $ 3,850

Pay in Installments

As low as

You can pay monthly installments using Splitit or Klarna.These plans are offered with low APR and no hidden fees.

Program Cohorts

Who Is This Program For?

How to apply

  • 1
    Submit Application

    Tell us why you want to take this Data Engineering course

  • 2
    Reserve Your Seat

    An admission panel will shortlist candidates based on their application

  • 3
    Start Learning

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

Start Application

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

Demand for Program

Organizations across all sectors rapidly embrace data engineering as a critical component of their digital transformation strategies. In 2025, the demand for skilled data engineers is expected to soar, driven by the need to manage and optimize the vast amounts of data generated daily. According to industry reports, data engineering roles will be among the fastest-growing job categories as companies prioritize building robust data infrastructures, making the prospects great for those with a data engineering certificate.

Our data engineering course will equip you with the skills to design, build, and maintain scalable data pipelines. You'll be prepared to meet industry demands and drive business innovation with a curriculum focused on cloud platforms, big data technologies, and real-world projects, allowing you to position yourself as an indispensable professional in this high-demand field. Join this data engineer course to secure your future in data

Demand for Program

Program FAQs

  • What is Data Engineering?

  • What does a Data Engineer do?

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

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

  • How do I enroll in the Data Engineering Course?

  • What is the average salary of a Data Engineer?

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

  • Do Data Engineers require prior coding experience?

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

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

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

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

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

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

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

  • Does Simplilearn have corporate training solutions?

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

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