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Data Engineering Courses (Masters Program)

Extensive Program with 12 Courses View all
200+ Hours of Interactive Learning
7+ Projects and 50+ Assignments
Our Data Engineering online courses are ideally designed for individuals who want to become data engineers, improve their data management skills, or explore big data analytics. This Data Engineering masters program includes Python, SQL, Azure DP-203,  PySpark , Apache Spark, Power BI, MongoDB, and more. You will learn to design data models, build data warehouses and lakes, automate data pipelines, and work with massive datasets. Enroll Now!
As per Indeed.com, the average salary for a Data Engineer is $128,601 per year in United States.

You Will Learn

Linux, Big data storage, Big data processing, Data modeling, Azure services, Querying data, SQL server administration, Data engineering on Azure, Reporting, Data visualization using Power BI and many more skills.

View Curriculum

Data Engineer Program Alumni

Our Data Engineer Masters Course Alumni work for amazing companies

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This training helped me stay relevant in the IT world where technologies are changing everyday

After working for 11 years in Database, I decided to learn Hadoop and Spark from Edureka. This is one of the best decisions I have made. Not only has this training helped me stay relevant in the IT world where technologies are changing every day, but it has also helped me overcome the limitations of legacy Databases to carve a brand new career path for myself.

My decision to up-skill with Hadoop at Edureka became a turning point in my career

Edureka has helped me move from Mainframe to a Big Data career path. My decision to up-skill with Hadoop at Edureka became a turning point in my career. Within six months of completing the course, I was able to bag a role in a Big Data project in a leading company! Now I work as a Team Lead in a project connected to Big Data thanks to the Hadoop training at Edureka.

Edureka's training has satisfied my personal curiosity and helped me learn Hadoop

I signed up for Hadoop training at Edureka because of my personal curiosity in the domain and to future-proof my career. Edureka's training has satisfied this curiosity and helped me learn Hadoop. It certainly gives me peace of mind that I am now skill-ready in Big Data which has plenty of opportunities for career growth.

Data Engineering Courses Syllabus

Linux Fundamentals

SELF PACED

Edureka's Linux Fundamentals Certification Course will help you gain a strong foundation in Linux from scratch. This course will help you master important Linux concepts such as Linux installations, Packages, Architecture, File System, User Management, Scripting Data & various useful commands and utilities with sufficient hands-on. This Linux Fundamentals certification course is also a gateway towards Linux Kernel, Linux Administration and Linux programming.

  • WEEK 2-3
  • 4 Modules
  • 12 Hours
  • 4 Skills
Watch Course Recording
Linux Fundamentals
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Apache Spark and Scala Certification Training

SELF PACED

Apache Spark and Scala Certification Training is designed to provide knowledge and skills to become a successful Spark Developer and prepare you for the Cloudera Certified Associate Spark Hadoop Developer Certification Exam CCA175. You will get in-depth knowledge of concepts such as HDFS, Flume, Sqoop, RDDs, Spark Streaming, MLlib, SparkSQL, Kafka cluster & API by taking this Course.

  • WEEK 5-6
  • 10 Modules
  • 24 Hours
  • 10 Skills
Watch Course Recording
Apache Spark and Scala Certification Training
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MongoDB® Training And Certification

SELF PACED

MongoDB is a distributed Database at its core, so high availability, horizontal scaling, and geographic distribution are built in and easy to use. This training will help you learn leading document-oriented NoSQL database, MongoDB Architecture, CRUD, Schema Design and Data Modelling, Indexing using real-life case studies.

  • WEEK 5-6
  • 10 Modules
  • 24 Hours
  • 10 Skills
Watch Course Recording
MongoDB® Training And Certification
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Azure Fundamentals

SELF PACED

Edureka's Azure Fundamentals certifies basic understanding of cloud services and how they are delivered with Microsoft Azure.

  • WEEK 2-3
  • 4 Modules
  • 12 Hours
  • 4 Skills
Watch Course Recording
Azure Fundamentals
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Big Data Hadoop Certification Training Course

LIVE CLASS

Edureka's comprehensive Big Data training course is curated by 10+ years of experienced industry experts, and it covers in-depth knowledge on Hadoop Ecosystem tools such as HDFS, YARN, MapReduce, Hive, and Pig. Throughout this online instructor-led live Big Data Hadoop certification training, you will be working on real-life industry use cases in Retail, Social Media, Aviation, Tourism, and Finance domains using Edureka's Cloud Lab. Edureka's Online Big Data Course provides you outstanding professional training with industry-based Projects work to clear Cloudera CCA 175 Hadoop Certification exam on the first attempt.

  • WEEK 5-6
  • 10 Modules
  • 30 Hours
  • 10 Skills
Watch Course Recording
Big Data Hadoop Certification Training Course
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Pyspark Certification Training Course Online

LIVE CLASS

Edureka's PySpark Course is curated by top industry experts to help you master the skills required to become a successful PySpark developer. This certification course gives you an overview of the Spark stack and teaches you how to leverage Python's functionality as you deploy it in the Spark ecosystem.Our online training is instructor-led and enables you to master key PySpark concepts with hands-on demonstrations. Enroll now with this course to learn from top-rated instructors.

  • WEEK 6-7
  • 12 Modules
  • 36 Hours
  • 12 Skills
Watch Course Recording
Pyspark Certification Training Course Online
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Microsoft SQL Server Certification Training Course

LIVE CLASS

Our top industry experts designed the Microsoft SQL Server Certification Training Course to help you master SQL. This training Course covers foundation concepts such as security, administrative privileges, migration of SQL databases into Azure data, and database management. Enroll now in this MS SQL course to work on real-world industry use cases and become an Edureka-certified SQL server database administrator.

  • WEEK 5-6
  • 11 Modules
  • 30 Hours
  • 11 Skills
Watch Course Recording
Microsoft SQL Server Certification Training Course
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Azure Data Engineer Certification (DP-203) Training Course

LIVE CLASS

Edureka's Microsoft Azure Data Engineer Certification course has been curated by top industry experts to help you prepare for the DP 203 Certification exam . Elevate your skills by letting industry-relevant use cases, engaging in hands-on practical assignments, tackling scenario-based exam questions, participating in simulation exams, and undertaking capstone projects specific to the industry. Enroll now to make our course the catalyst for your professional success!

  • WEEK 6-7
  • 11 Modules
  • 36 Hours
  • 11 Skills
Watch Course Recording
Azure Data Engineer Certification (DP-203) Training Course
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Microsoft Power BI Certification Training Course

LIVE CLASS

The Edureka Power BI Training will help you gain expertise in Business Analytics. You will master concepts such as Power BI Desktop, Architecture, DAX, Service, Mobile Apps, Reports, and Q&A, to name a few, with industry use cases. This Power BI Course is live instructor-led and ensures that you get hands-on experience in real-time projects. Learn Power BI online from 10+ years of experienced industry experts and clear the PL-300 exam.

  • WEEK 5-6
  • 10 Modules
  • 30 Hours
  • 10 Skills
Watch Course Recording
Microsoft Power BI Certification Training Course
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Free Elective Courses along with learning path

VIEW FREE COURSES
Self Paced

Tableau Training and Certification

VIEW CURRICULUM
Self Paced

Talend for Data Integration and Big Data Certification & Training

VIEW CURRICULUM
Self Paced

Apache Cassandra Certification Training

VIEW CURRICULUM

Program Fees

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1,499 3,304
Your total savings: 1,805
No Cost EMI Available, Starting from 167/mo.
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To make this a No Cost EMI offer
The interest amount will be discounted from the price of your order. You will be charged for the item price minus the discounted interest.
See Course Bundle
  • Linux Fundamentals
    153
  • Apache Spark and Scala Certification Training
    199
  • MongoDB® Training And Certification
    199
  • Azure Fundamentals
    0
  • Big Data Hadoop Certification Training Course
    499
  • Pyspark Certification Training Course Online
    449
  • Microsoft SQL Server Certification Training Course
    449
  • Azure Data Engineer Certification (DP-203) Training Course
    459
  • Microsoft Power BI Certification Training Course
    499
+3 Free Elective Courses 398

Financing Options

Financing options available without any credit/debit card. The interest amount will be discounted from the price of the course and will be borne by Edureka. You will be charged the course price minus the interest.

Click on View More to avail. Conditions Apply.

Financing options available View More

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Masters Course Certification

Edureka’s Certificate Holders work at companies like :

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certificate
Your Name
Data Engineer
Linux Fundamentals Apache Spark and Scala Certification Training MongoDB® Training And Certification Azure Fundamentals Big Data Hadoop Certification Training Course Pyspark Certification Training Course Online Microsoft SQL Server Certification Training Course Azure Data Engineer Certification (DP-203) Training Course Microsoft Power BI Certification Training Course
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The Certificate ID can be verified at www.edureka.co/verify
to check the authenticity of this certificate

Data Engineer Program Features

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As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

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Never miss a class

You can always switch to another batch, depending upon your availability.

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24x7 Support

Resolved All Your Doubts Instantly, get One-On-One Learning Assistance Round The Clock.

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Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job Outlook

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1.5 Million Career Opportunities estimated for experienced Data Engineers in the IT industry across the globe.

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Salary Trend The average salary for a Data Engineer is $128,601 per year with $2,500 cash bonus.

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22.00% Annual Growth in job opportunities for Data Engineers during the last two years, worldwide.

    Top Industries
  • BFSI
  • Retail
  • Manufacturing
  • E-commerce
  • Media & Entertainment
  • Healthcare
  • Telecommunications
    Job Titles include
  • Data Engineer
  • Big Data Engineer
  • Azure Data Engineer
  • Big Data Developer
  • Data Architect
  • Data Manager

FAQs

Enrolling in a Data Engineer certification masters program helps to build on the foundational knowledge along with obtaining hands-on training in the skill.
There are no prerequisites for enrollment in this Data Engineer Masters Program. Our master's program is designed for various professional backgrounds, whether you are an experienced IT professional or who wants to become a data engineer.
Our commitment to equip you with a 360-degree understanding of Data Engineering means we cover a broad array of topics to ensure you become a proficient data engineer. Topics covered but not limited to will be: Linux, Apache Spark, Scala, Data Modelling, Data Querying, SQL Server Administration, Data Processing, Data Storage, Azure Services, Azure Data Engineering, Reporting, Data Visualization and many more.
Edureka’s Data Engineer Masters Program is a thoughtful compilation of Instructor-led and Self-paced Training Program, allowing the learners to be guided by industry experts and learn skills at their own pace.
Yes! You can be enrolled in multiple other Instructor-led or Self-paced courses offered by Edureka. This is the advantage of learning with us - “Flexible Schedule”. You can select the batches that allow you to make the best of your learning journey without the fear of overlapping or missing classes.
The recommended duration to complete this Data Engineer program is 25 weeks; however, individuals have the flexibility to complete the program at their own pace.
As soon as you enroll, all 12 Data Engineering courses mentioned in the curriculum will be added to your account. Edureka provides its learners with immediate and lifetime access to every course that is a part of the Masters Programs.
No, we do not enforce an order of course completion. Our Masters Program recommends the ideal path for becoming a Data Engineer, however, it is the learner's preference to complete the courses in any order they intend to.
Yes, we will provide you with a completion certificate for every course in the learning pathway once you have successfully submitted the final assessment and verified it by our subject matter experts.
After completing this Data Engineer certification course, you’ll be eligible for roles such as
  • Junior Data Engineer: Entry-level position
  • Data Engineer: Responsible for building and maintaining data pipelines.
  • Senior Data Engineer: Involves more complex pipeline architecture and mentoring junior engineers.
Yes, you will have lifetime access to study materials for your master's in data engineering course. You can access them anytime, from anywhere.
This Data Engineering course is designed to meet the requirements of both working professionals and freshers. Yes, this Data Engineer master’s program is suitable for freshers. They can secure data engineering jobs with competitive salaries at top-tier companies.
The Data Engineering Course covers over 10+ tools, such as
  • Python
  • Scala
  • Apache Spark
  • MongoDB
  • SQL
  • Amazon Sagemaker
  • Azure Cosmos DB

Edureka's Data Engineering Course provides a clear grasp of Big Data and Data Engineering concepts through easily comprehensible courses, including:

  • Apache Spark
  • Apache Hadoop
  • Data engineering
  • Data modeling
  • ETL with Spark SQL
  • Machine learning
  • Big data analytics
  • Cloud computing
  • Data Engineer with Python
  • Data security
  • Data storage
  • Introduction to NoSQL databases
  • Simplifying data pipelines with Apache Kafka
  • Big Data Engineer
  • BigQuery
  • BigQuery machine learning
  • Business Intelligence Engineer
  • Data accessibility
  • Data Engineering on Azure
  • Data Visualization Using Azure Synapse
  • Ecommerce analytics
  • Google Cloud Platform
  • Introduction to Python
  • Kafka
To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Data Engineering certification course is financially manageable. Check our 'Admissions Fee and Financing' section for more information.

As a part of this Data Engineering course, in collaboration with Microsoft you will receive the following

  • Master Program certificate
  • Industry-recognized certifications from Microsoft (for Microsoft courses) and Edureka
  • Lifetime access to all core e-learning content and 24/7 support created by Edureka
Get in touch with us by using the form on the right side of any page on the Edureka website, clicking the Live Chat link, or reaching out to Help & Support.
We provide around-the-clock support via email, chat, and phone. Our dedicated team is available to help you with technical issues whenever you need, even after you finish your Data Engineering certification course.
Our expert Data Engineering instructors at Big Data possess extensive industry knowledge and years of experience. They undergo a rigorous selection process, which includes screening, technical evaluation, and a training demo, before being certified to teach for us. We ensure that only trainers with a high alumni rating remain part of our faculty.
You will be awarded a Certificate of Completion for the Data Engineering Masters Course Program once you have completed the individual certification for the following Data Engineering courses.
We've dedicated a team of helpful admissions counselors ready to assist you as you apply for the Data Engineering certification course. They are here to guide you through the application process
Yes! If necessary, you can cancel your enrollment. We'll give you a refund, but there will be a small administration fee deducted. Check out our Refund policyfor more details.
You don't need any special computer setup for this Data Engineering course. As long as you have a computer with internet access, you can easily get the course materials.

According to Glassdoor, the below companies are best for data engineers.

  • Cognizant Technology Solutions
  • Amazon
  • IBM
  • Capgemini
  • Deloitte
  • Wipro
  • EY
  • Tech Mahindra

The following are the key responsibilities of a data engineer.


  1. Designing and building data architectures
  2. Developing data pipelines
  3. Data modeling
  4. Ensuring data quality
  5. Maintaining data security
  6. Performance optimization
  7. Collaboration with stakeholders

A certificate of completion for the Data Engineer Masters Program shall be awarded to you once you have completed the following courses:


  • Linux Fundamentals
  • Apache Spark and Scala
  • MongoDB
  • Azure Fundamentals
  • Big Data Hadoop
  • PySpark
  • Microsoft SQL Server
  • DP 203: Data Engineering on Microsoft Azure
  • Microsoft Power BI

To aid your learning journey, we have added the following elective courses in the LMS:


  • Tableau
  • Talend Certification Training For Big Data Integration
  • Apache Cassandra

Completion of the above elective courses is not associated with Master's Program completion criteria.

Yes, a career in data engineering is considered promising in 2024 and beyond. According to industry reports, it is a high-demand and well-paying field, consistently ranked among the top technology jobs for several years. Additionally, this rapidly evolving field requires continuous learning and adaptation to new technologies and tools, offering ample opportunities for growth and advancement within the profession.

The Data Engineer training course is designed for individuals seeking to fast-track their data engineering careers and the course will be beneficial for those who are working in the following roles:


  • Freshers
  • IT Team Leaders
  • Software Developers
  • Systems Administrators and IT Managers
  • Cloud Engineers
  • Developers
  • Engineers
  • Testing Professionals
Yes, freshers can secure data engineering jobs with a competitive salary at top-tier companies. The role of a data engineer is an excellent option for newcomers who possess strong programming skills and a deep understanding of data infrastructure.
Becoming a data engineer in 3 months is challenging, but with dedicated learning, hands-on practice, and a solid foundation in relevant skills like programming and databases, it's possible to make significant progress toward a career in data engineering.
Yes, training in both software development and data science skills such as statistics and math is important.
There is no specific age limit for becoming a data engineer; individuals can pursue a career in data engineering at any age based on their skills and qualifications.
It depends on your interests and skills – choose DevOps if you prefer managing an end-to-end software delivery process, and opt for data engineering if you're passionate about managing and analyzing large volumes of data.
  • Database Design.
  • Introduction to Airflow in Python.
  • ETL in Python.
  • Building Data Engineering Pipelines in Python.
  • AWS Cloud Concepts.
  • NoSQL Concepts.
  • Streaming Data with AWS Kinesis and Lambda.
  • Streaming Concepts.
A career in data engineering offers many benefits, such as opportunities to work with advanced technologies, solve complex problems, and contribute to data-driven decision-making.
Yes, you're welcome to enroll in the Data Engineer Course even if you're not from a technical background. However, having a grasp of object-oriented programming languages would be helpful.
Yes, you need to have a bachelor's degree to join this Data Engineering Course.
Data is making a big impact globally, and the more you use data for decision-making, the better it is for your organization. Analyzing data helps you make smart decisions, strategize effectively, and helps your business reach its goals faster. Joining this thorough Data Engineering Course will be a great advantage for you.
Absolutely! You can enroll in the Data Engineer course even if you do not know big data or data engineering. The program begins with the basics and guides you step by step to advanced skills in Data Engineering.
Edureka’s Data Engineering certification course is designed for beginners, guiding you through every concept from the beginning. The instructors are experts who understand the skills employers look for in data engineering roles. They make learning easy, covering important topics like Hadoop, Spark data processing, and AWS Big Data at your pace and convenience.
According to Glassdoor, Ambitionbox, and Payscale, the average salary for an Entry Level Data Engineer is $98,947 in the US, ₹300k–₹650k in India, and £47k–87k in the UK per year.
According to Ambitionbox,the highest salary that a Senior Data Engineer can earn is ₹35.9 Lakhs per year (₹3.0L per month).
Yes, learning data engineering in 2024 is a smart move. This job is in demand and pays well. There's a growing demand for cloud-native technologies, data, AI, and platform engineering.
In the future, data engineers can quickly run big jobs. The number of job opportunities in big data engineering could rise by 33 percent from 2020 to 2030.
A data engineer is an IT professional whose primary job responsibility is preparing data for analytical or operational uses. They may collaborate with databases, data warehouses, big data platforms, and other data technologies.
The Data Engineer Masters Program is a structured learning path recommended by leading industry experts, ensuring your transformation into a proficient professional. Achieving expertise in data engineering involves mastering multiple technologies, and this program aims to provide in-depth knowledge of the entire field. Individual courses at Edureka focus on specialization in one or two specific skills.

There are several reasons why someone may choose to become a data engineer:


  1. Growing demand: Many companies seek data engineers for intelligent, data-driven decision-making.
  2. Exciting technology: Data Engineering involves working with advanced technologies like big data and cloud platforms.
  3. High earning potential: Get well-compensated for being a data professional.
  4. Opportunities to grow: The field offers numerous opportunities for growth and advancement.
  5. Impactful work: Data Engineers play a crucial role in using data for business success, providing rewarding careers for those passionate about making a positive impact.

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