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    Data Engineer Masters Program

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    Extensive Program with 12 Courses View all
    200+ Hours Of Self-paced Learning
    7+ Projects and 50+ Assignments
    Edureka’s Data Engineer Masters program is curated by industry experts to provide learners with a deep understanding of the principles and practices of data engineering through its extensive coursework and hands-on projects. The well-researched curriculum enables learners to design and build data pipelines, manage databases, and develop data infrastructure to meet the requirements of any organization. Unleash the power of data and accelerate your career— join the global revolution 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

    Our Alumni

    Our DevOps Engineer Masters Course Alumni work for amazing companies

    alumni-image

    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.

    Program 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
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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
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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
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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
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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
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    PySpark Certification Training Course

    LIVE CLASS

    Edureka’s PySpark certification training is curated by top industry experts to help you master skills that are required to become a successful Spark developer using Python. This PySpark training will help you to master Apache Spark and the Spark ecosystem, which includes Spark RDDs, Spark SQL, Spark Streaming and Spark MLlib along with the integration of Spark with other tools such as Kafka and Flume. Our PySpark online course is live, instructor-led & helps you master key PySpark concepts with hands-on demonstrations. This PySpark training is fully immersive, where you can learn and interact with the instructor and your peers. Enroll now with this course to learn from top-rated instructors.

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

    LIVE CLASS

    Edureka’s Microsoft SQL Certification Training Course is curated by top industry professionals to help you master Structured Query Language (SQL). This course will teach you how to manage databases on SQL Server and will provide you with a solid foundation in SQL concepts such as querying data, security and administrative privileges. Additionally, you will also be working on deploying SQL server to Microsoft Azure along with the migration of on-premise data. This SQL training will give you the chance to work on real-world industry use cases and become an Edureka certified SQL server database administrator to kickstart your career in this domain.

    • WEEK 5-6
    • 11 Modules
    • 30 Hours
    • 11 Skills
    Watch Course Recording
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    DP 203: Data Engineering on Microsoft Azure

    LIVE CLASS

    Edureka's Azure Data Engineering Certification Training Course using Azure is curated by subject matter experts to help you pass the Microsoft Azure Data Engineering Exam: DP-203. This training will teach you concepts like data storage, processing pipelines, data security, data factory, and more with industry-relevant use cases. This Azure Data Engineer Certification Course provides real-world project experience among various sectors. Learn Azure Data Engineering Online Course from 10-year Experienced industry Experts.

    • WEEK 6-7
    • 11 Modules
    • 36 Hours
    • 11 Skills
    Watch Course Recording
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    Microsoft Power BI Certification Training Course

    LIVE CLASS

    Edureka’s Power BI certification course is curated by subject matter experts to help you clear the official Microsoft Power BI Data Analyst Exam: PL-300. This course will help you gain expertise in Business Analytics and throughout the training, you will master the concepts such as Power BI Desktop, Architecture, DAX, Service, Mobile Apps, Reports, Q&A, and many more with industry-relevant use cases. This Power BI training ensures that you get hands-on experience in real-time projects. Learn Power BI from 10+ years of experienced industry experts.

    • WEEK 5-6
    • 10 Modules
    • 30 Hours
    • 10 Skills
    Watch Course Recording
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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

    1,499 3,304
    Your total savings: 1,805
    No Cost EMI Available, Starting from 167/mo.
    ×
    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
      449
    • Microsoft SQL Server Certification Course
      449
    • DP 203: Data Engineering on Microsoft Azure
      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 :

    certi-01
    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 Microsoft SQL Server Certification Course DP 203: Data Engineering on Microsoft Azure Microsoft Power BI Certification Training Course
    Sample ID NA Signature
    The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate

    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.

    job-outlook-image

    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

    Data Engineer Masters Program FAQs

    A data engineer is a professional who designs, builds, and maintains data architectures and infrastructure to support data processing, storage, and analysis. A data engineer is responsible for ensuring that data is collected, processed, and transformed in a way that makes it usable and accessible for data analysts, data scientists, and other stakeholders in an organization. Data engineers work with a variety of tools and technologies to create data pipelines that move data from its source to its destination, and they may work with databases, data warehouses, big data platforms, and other data technologies. They may also be involved in tasks such as data modeling, data integration, data quality assurance, and data security. Overall, data engineers play a critical role in helping organizations make use of their data by building and maintaining the infrastructure necessary for data processing and analysis.

    Data Engineer Masters Program is a structured learning path recommended by leading industry experts and ensures that you transform into a proficient Data Engineer. Being a full fledged Data Engineer requires you to master multiple technologies and this program aims at providing you an in-depth knowledge of the entire Data Engineering practices. Individual courses at Edureka focus on specialization in one or two specific skills, however, if you intend to become a master in Data Engineer then this is your go to path to follow.

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


    1. Growing demand: There is a high demand for data engineers as more organizations are realizing the value of data-driven decision-making. This has resulted in a growing demand for professionals with data engineering skills and expertise.
    2. Exciting technology: Data engineering involves working with cutting-edge technologies such as big data platforms, cloud computing, and data processing frameworks. This makes it an exciting and constantly evolving field to work in.
    3. High earning potential: Data engineers are highly valued and well-compensated for their skills and expertise. According to industry reports, data engineers have one of the highest median salaries among all technology jobs.
    4. Opportunities for growth: Data engineering is a rapidly evolving field, and there are many opportunities for growth and advancement within the profession. Data engineers can specialize in different areas of data engineering or move into management roles as they gain experience.
    5. Impactful work: Data engineers play a critical role in helping organizations make use of their data to drive business decisions and improve performance. This can be rewarding work for those who are passionate about making a positive impact in their careers.

    Data Engineer Masters Program has been curated after thorough research and recommendations from industry experts. It will help you differentiate yourself with multi-platform fluency, and have real-world experience with the most important tools and platforms. Edureka will be by your side throughout the learning journey - We’re Ridiculously Committed.

    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 Modeling, Data Querying, SQL Server Administration, Data Processing, Data Storage, Azure Services, Azure Data Engineering, Reporting, Data Visualization and many more.

    There are no prerequisites for enrollment to this Masters Program. Whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data Engineering, this masters program is designed and developed to accommodate various professional backgrounds.

    The roles and responsibilities of data engineers may vary depending on the organization, but some common tasks and responsibilities include:


    1. Designing and building data architectures: Data engineers are responsible for designing and building the infrastructure and architectures necessary to support data processing, storage, and analysis.
    2. Developing data pipelines: Data engineers create and maintain data pipelines that move data from various sources to its destination, ensuring that data is processed, transformed, and loaded into databases or data warehouses in a timely and efficient manner.
    3. Data modeling: Data engineers work with data architects and data scientists to develop data models that support business requirements and ensure that data is properly structured and organized.
    4. Ensuring data quality: Data engineers are responsible for ensuring that data is accurate, consistent, and up-to-date, and they may develop processes and tools to monitor data quality and detect errors or inconsistencies.
    5. Maintaining data security: Data engineers are responsible for ensuring the security and privacy of data, and they may work with IT security teams to develop and implement security protocols and procedures.
    6. Performance optimization: Data engineers optimize data processing and analysis performance by monitoring and fine-tuning data pipelines, databases, and data processing frameworks.
    7. Collaboration with stakeholders: Data engineers collaborate with data analysts, data scientists, and other stakeholders to understand business requirements and ensure that data infrastructure and architecture support business needs.

    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, it is up to the individual to complete this program as per their own pace.

    As soon as you enroll, all the 12 courses mentioned in the curriculum will be added to your account. Edureka provides its learners with immediate and lifetime access to every course, which is a part of the Data Engineer Masters Program.

    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 learner’s preference to complete the courses in any order they intend to.

    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 Certification Training Course
    • MongoDB Certification Training Course
    • Azure Fundamentals
    • Big Data Hadoop Certification Training Course
    • PySpark Certification Training Course
    • Microsoft SQL Server Certification Course
    • DP 203: Data Engineering on Microsoft Azure
    • Microsoft Power BI Certification Training Course

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


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

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

    Yes, We would be providing you with the certificate of completion for every course that is a part of the learning pathway, once you have successfully submitted the final assessment and it has been verified by our subject matter experts.

    Yes, data engineering is considered a promising career in 2023 and beyond. As businesses and organizations continue to rely on data to make informed decisions, the demand for data engineers is expected to grow.


    Data engineers are responsible for building and maintaining the infrastructure necessary for data processing, storage, and analysis. They work with a variety of tools and technologies to create data pipelines, data warehouses, and other systems that enable data-driven decision-making.


    According to industry reports, data engineering is a high-demand and well-paying field. In fact, it has been ranked among the top technology jobs for several years in a row.

    Additionally, data engineering is a rapidly evolving field that requires continuous learning and adaptation to new technologies and tools. This provides opportunities for growth and advancement within the profession.

    The Data Engineer training course is for those who want to fast-track their data engineering career. This Data Engineer Course will benefit the people working in the following roles:


    • Freshers
    • IT Team Leaders
    • Software Developers
    • Systems Administrators and IT Managers
    • Cloud Engineers
    • Developers
    • Engineers
    • Testing Professionals

    On completing this Data Engineer certification, you’ll be eligible for the roles like: Data Engineer, Data Architect, Azure Data Engineer, Big Data Developer, Data Manager and many more.

    Top Companies Such as Amazon, Meta, IBM, Wipro, CISCO, Honeywell, Oracle, and Microsoft are hiring Certified Data Engineer professionals at various positions.

    Yes, You will get lifetime access of study materials for your Data Engineer Masters course. You can access it 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 certification course is suitable for freshers if you have basic knowledge of Java, SQL, Data Structure, and disturbed systems, it will be an advantage for you to follow up on our course easily. Edureka’s highly skilled trainers explain everything and make it easy to understand the concepts and resolve all your queries.

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