About Big Data Engineer Course

  • About the Big Data Engineer course developed in collaboration with IBM

    IBM is recognized as a Leader in the 2021 Magic Quadrant for Data Science and Data Engineering. A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Big Data Engineering. These Data Engineering courses developed in collaboration with IBM will make students industry ready to start a career as Big Data Engineer.

    IBM is a leading cognitive solution and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions into the US Inventors Hall of Fame.

    What can I expect from this Simplilearn's Big Data Engineer course developed in collaboration with IBM?

    Upon completion of this Big Data Engineer course, you will receive the certificates from IBM (for IBM Data Engineering courses) and Simplilearn for the courses in the learning path. These certificates will testify to your skills as an expert in Big Data Engineering after the completion of training. You will also receive the following:

    • Masterclass by IBM experts
    • Ask me anything sessions with IBM leadership
    • Hackathons conducted by IBM
    • Industry-recognized Big Data Engineer Master's Certificate from Simplilearn

  • What are the learning objectives of this Big Data Engineer course?

    Big Data has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport, logistics, and customer service. A role as a Big Data Engineer places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.

    These co-developed Simplilearn and IBM Big Data Engineering courses are designed to give you in-depth knowledge of the flexible and versatile frameworks on the Hadoop ecosystem and big data engineering tools like Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka Architecture. This Data Engineer course will also teach you to model data, perform ingestion, replicate data, and share data using a NoSQL database management system MongoDB.

    The Big Data Engineer online course curriculum will give you hands-on experience connecting Kafka to Spark and working with Kafka Connect.

  • Why become a Big Data Engineer?

    Big Data Engineers create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. The global Big Data market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field.

    The valuable skills you’ll acquire with these Big Data Engineering courses will help you secure employment with companies as diverse as IBM, Coca-Cola, Ford Motors, Amazon, HCL, and Uber. Big Data Engineers are employable across a variety of industries such as transportation, healthcare, telecommunications, finance, manufacturing, and many more. According to Glassdoor, the average annual salary for a Big Data Engineer is $137,776, with more than 130K jobs in this field worldwide.

  • What skills will you learn in this Big Data Engineer course?

    The Big Data Engineer course curriculum ensures that you master the various components of the Hadoop ecosystem, such as MapReduce, Pig, Hive, Impala, HBase, and Sqoop, and learn real-time processing in Spark and Spark SQL. By the end of this Big Data Engineer online course, you will: 

    • Gain insights on how to improve business productivity by processing Big Data on platforms that can handle its volume, velocity, variety, and veracity
    • Master the various components of the Hadoop ecosystem, such as Hadoop, Yarn, MapReduce, Pig, Hive, Impala, HBase, ZooKeeper, Oozie, Sqoop, and Flume
    • Become an expert in MongoDB by gaining an in-depth knowledge of NoSQL and mastering the skills of data modeling, ingestion, query, sharding, and data replication
    • Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect
    • Get a solid understanding of the fundamentals of the Scala language, it's tooling and the development process
    • Identify AWS concepts, terminologies, benefits, and deployment options to meet the business requirements
    • 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
    • Analyze and transform big data using Kinesis Streams
    • Visualize data and perform queries using Amazon QuickSight

  • What are the prerequisites for this Big Data Engineer course?

    Learners need to have an undergraduate degree or a high school diploma to avail this course. It is also beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking a Big Data Engineer course online.

  • What are the job opportunities upon completing this Big Data Engineer course?

    Upon completion of the Big Data Engineer course in collaboration with IBM, you will have the skills required to help you land your dream job, including:

    • Data Engineer/Big Data Engineer
    • Big Data Lead
    • Data Architect
    • Technical Program Manager
    • Big Data/Hadoop Developer
    • Product Engineer

Tools Covered

flumeimpalakafkaspark.apache hbasemongodbsparksqlhivesqoophdfshadoopjavapythonscala

Big Data Engineer Course Advisor

  • Ronald van Loon

    Ronald van Loon

    CEO, Principal Analyst Intelligent World,Top10 AI-Data-IoT-Influencer

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.


Big Data Engineering Course Learning Path

  • Course 1

    Big Data for Data Engineering

    This Data Engineering course from IBM will teach you the basic concepts and terminologies of Big Data and its real-life applications across industries. You will gain insights on how to improve business productivity by processing large volumes of data and extracting valuable information from them.

    Read More
  • Course 2Online Classroom Flexi Pass

    Big Data Hadoop and Spark Developer

    Simplilearn’s Big Data Hadoop course lets you master the concepts of the Hadoop framework, Big data tools, and methodologies. Achieving a Big Data Hadoop certification prepares you for success as a Big Data Developer. This Big Data and Hadoop training help you understand how the various components of the Hadoop ecosystem fit into the Big Data processing lifecycle. Take this Big Data and Hadoop online training to explore Spark applications, parallel processing, and functional programming.

    Read More
  • Course 3

    PySpark Training Course

    Get ready to add some Spark to your Python code with this PySpark certification training. This course gives you an overview of the Spark stack and lets you know how to leverage the functionality of Python as you deploy it in the Spark ecosystem. It helps you gain the skills required to become a PySpark developer.

    Read More
  • Course 4

    Apache Kafka

    Simplilearn’s Kafka certification lets you explore how to process huge amounts of data using various tools. You will understand how to better leverage Big data analytics with this Kafka training. Take advantage of our blended learning approach for this Kafka course and learn the basic concepts of Apache Kafka. Get ready to go through the cutting-edge curriculum of this Apache Kafka certification designed by industry experts and develop the job-ready skills of a Kafka developer.

    Read More
  • Course 5Online Classroom Flexi Pass

    MongoDB Developer and Administrator

    Simplilearn’s MongoDB certification equips you with the relevant skills required to become a MongoDB Developer. The highly-qualified instructors for this MongoDB course help you understand why more businesses are using MongoDB development services to handle their increasing data storage and handling demands. Our MongoDB training is equipped with industry projects, lab exercises and various demos to explain key concepts. Enroll in our MongoDB online course and learn this popular NoSQL database

    Read More
  • Course 6Online Classroom Flexi Pass

    AWS Data Analytics Certification Training

    Simplilearn’s AWS Data Analytics certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform. Our AWS data analytics course is aligned with the AWS Certified Data Analytics Specialty exam and helps you pass it in a single try. Developed by industry leaders, this AWS certified data analytics training explores some interesting topics like AWS QuickSight, AWS lambda and Glue, S3 and DynamoDB, Redshift, Hive on EMR, among others

    Read More
  • Course 7Online Classroom Flexi Pass

    Big Data Capstone

    Simplilearn’s Big Data Capstone project will give you an opportunity to implement the skills you learned in the Big Data Engineer training. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.

    Read More
  • Master's Program Certificate

  • Electives

    AWS Technical Essentials

  • Electives

    Java Certification Training

  • Electives

    Industry Master Class – Data Engineering

Get Ahead with Simplilearn's Master Certificate

Get Ahead with Simplilearn's Master Certificate

Earn your certificate

Our Big Data Engineering courses is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and Data Engineering skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about your certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.

Big Data Engineer Certificatein Riyadh

Big Data Engineer Course Reviews

  • Bob Hays

    Bob Hays

    Founder at Selwyn Web Design, Little Rock

    I love these guys! I've taken two courses from them already and I have now enrolled in this program. Their customer service, Learning Management System (LMS), course content, and cloud labs are the best in the e-learning market. I highly recommend Simplilearn!

  • Satish Hiremath

    Satish Hiremath

    Senior Consultant at Capgemini, Bangalore

    Simplilearn's course has helped me advance from Senior Software Engineer to Senior Java Hadoop Developer with a 30% hike in salary.

  • Md Azhar Hussain

    Md Azhar Hussain


    This platform has enhanced my knowledge of big data engineering and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor's in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.

  • Karthikeyan M

    Karthikeyan M

    Lead Consultant at Anantara Solutions, Bangalore

    Simplilearn is one of the best platforms to learn and upscale your career. This certification helped me to grow my career from Lead Consultant to Practice Lead in my present organization. Thanks to Simplilearn for the making my learning experience knowledgeable.


Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Big Data Engineer Training FAQs

  • What is Big Data Engineering?

    Big data engineering is an important aspect of data science that involves building, maintaining, testing, and assessing big data solutions. It emphasizes the development of systems that allow for better flow and access to the data. It also incorporates the collection of data of disparate sources, cleaning, and processing data to make it ready for analysis.

  • What does a Big Data Engineer do?

    A Big Data Engineer prepares data for analytical or operational uses. Their primary roles include building data pipelines to collect information from various sources, integrating, combining, cleaning, and using data for individual analytics applications. Their role evolves from collecting and storing data to transforming, labeling, and optimizing data.

    Big Data Engineers often work with data scientists who run queries and algorithms against the collected information for predictive analysis. They also work with business units to deliver data aggregations to executives. Big Data Engineers commonly work with both structured and unstructured data sets, for which they must be well-versed in different data architectures, applications, and programming languages such as Spark, Python, and SQL.

  • What is the typical course syllabus for Data Engineering?

    Data engineering is one of the most in-demand careers these days. If you have decided to enroll in a training course, you should first check out the data engineering syllabus.

    The typical big data engineering syllabus includes topics like Apache Hadoop, data model creation, Apache Spark, performing ingestion, replicating data, tools like Sqoop, Hive, Pig, and Flume, and sharing data through a NoSQL database management system like MongoDB. The theoretical knowledge should be coupled with practical learning so that you can better understand the concepts of data engineering.

  • How do I become a Big Data Engineer?

    These Big Data Engineering courses developed in collaboration with IBM will give you insights into the Hadoop ecosystem, Data engineering tools, and methodologies to prepare you for success in your role as a Big Data Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The Data Engineering courses will train you on Big Data, Hadoop clusters, MongoDB, PySpark, Kafka architecture, SparkSQL, and much more to become an expert in Big Data Engineering.

  • What can I expect from the Big Data Engineer course?

    As a part of this Big Data Engineer course, developed in collaboration with IBM you will receive the following:

    • Lifetime access to e-learning content for all of the Big Data Engineering Courses included in the learning path (*only for Simplilearn courses)
    • Industry-recognized certificates from IBM(for IBM courses) and Simplilearn upon successful completion of the Big Data engineering course
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • For which all courses will I get certificates from IBM?

    You will get an IBM certificate for the first course present in the Big Data Engineer course curriculum.

  • How do I earn the Big Data Engineer Master's certificate?

    Upon completion of the following minimum requirements, you will be eligible to receive the Master’s certificate for Big Data Engineering that will testify to your skills as a Big Data Engineer. 

    Course Course Completion Certificate Criteria
    Big Data for Data Engineering Required 85% of online self-paced completion
    Big Data Hadoop and Spark Developer Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project
    PySpark Training Required 85% of online self-paced completion
    MongoDB Developer and Administrator Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project
    Apache Kafka Required 85% of online self-paced completion
    Big Data on AWS Required Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

  • How do I enroll in the Big Data Engineer course?

    You can enroll in this Big Data Engineering course on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal

    Once payment is received you will automatically receive a payment receipt and access information via email.

  • What are the top job titles in the field of Big Data?

    The top five job titles in the field of Big Data are:

    • Data Engineer/Big Data Engineer
    • Data Analyst
    • Data Architect
    • Database Developer
    • Data Security Administrator

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

    The top industries that are suitable for Big Data professionals are:

    • Medicine and healthcare
    • Banking
    • Information technology
    • Education
    • Retail
    • Ecommerce

  • What are the top companies hiring Big Data professionals?

    The top five companies hiring Big Data professionals are:

    • IBM
    • Microsoft
    • Facebook
    • Oracle
    • Amazon

  • If I need to cancel my enrollment, can I get a refund?

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

  • I am not able to access the Big Data Engineering courses. Who can help me?

    Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback. 

  • Do you provide a money back guarantee for the training programs?

    Yes. We do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.

  • Who are the instructors and how are they selected?

    All of our highly qualified Big Data Engineering trainers are Big Data industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Big Data Engineer in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.

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

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Big Data Engineering course with us.

  • Do you offer any university partnered program in Big Data?

    Yes, Simplilearn provides a PG program in the Big Data domain in partnership with Purdue University. The Data Engineering Certification Program provides a high-engagement learning experience with real-world applications to help you master crucial Data Engineering skills.

  • What kind of career opportunities can I pursue with Big data engineering skills?

    Big data engineering skills are in high demand these days. You can become eligible for job roles like big data engineer, data warehouse manager, database administrator, business intelligence analyst, and data architect. You can take the first step by enrolling in our Big data engineering course.

  • What degree do you need to be a Big Data Engineer?

    There is no dedicated college degree for big data. Professionals pursuing a career as a Big Data Engineer usually have a bachelor’s degree in computer science, physics, statistics, applied math, or any other related field — and there are many!. Even if you don’t have such an educational background, our Big Data Engineer course will help you kickstart your career in big data engineering.

  • What is the average salary for a Big Data Engineer?

    Big data engineers earn an average salary of over Rs. 830K per year in India and $116K in the U.S. By adding relevant experience and gaining industry-recognized certifications, like Simplilearn’s Big Data Engineer course, there is no reason why you can’t earn even higher.

  • Is a Big Data Engineering course hard to learn?

    The difficulty level of a Big Data Engineering course depends entirely on the learner’s prior knowledge and dedication towards learning the concepts. That said, our highly qualified trainers explain everything in an easily understandable manner and are aware of various learner’s needs.

  • What are the prerequisites to pursue this Big Data Engineer course?

    Learners need to possess an undergraduate degree or a high school diploma in any discipline, as may be prevalent and accepted in their respective country of residence and/or work to avail this course. it is also beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking a Big Data Engineering course.

  • Does Big Data Engineering require coding?

    Though not required, it is recommended that you have basic programming knowledge when embarking on a career in Big Data Engineering.

  • Which language is best for Big Data Engineering?

    Java, Python, R, SQL, and Scala are the most commonly used languages in the field of Big Data Engineering.

  • What are the eligibility criteria for the Big Data Engineer course?

    There are no eligibility criteria for our Big Data Engineering course. Anyone with an interest in learning big data can enroll in our comprehensive program and start their journey. However, knowledge of algorithms and data structures, SQL, Programming knowledge of Python and Java, Cloud platforms and distributed systems, and Data pipelines is beneficial.

  • Will this Data Engineering courses help me to become a Big Data Engineer?

    Simplilearn’s Data Engineering course helps you develop all the skills that employers seek for their data-related roles. You will become familiar with a lot of important big data topics like database interfaces, Flume, Hive, Pig, Impala, data model creation, Spark streaming, and more. So, our Best Data Engineer course lets you understand what it takes to step into the shoes of a Big Data Engineer.

  • What major skills do you need to become a Big Data Engineer?

    Becoming a big data engineer requires an individual to be well versed in programming languages like Java, Python, or C++. They should be familiar with relational databases, MySQL, Oracle Database, and writing SQL queries. Building a data warehouse, operating systems, Hadoop tools and frameworks, Apache Spark, data mining, and data modeling are other important skills of a big data engineer. Our Big Data Engineer course can help you gain all these skills.

  • Can a fresh graduate seek employment after completing this Big Data Engineer course?

    Anyone willing to start a career in Big data can take our Big Data Engineering course. However, if you have prior knowledge of Algorithms and data structures, SQL, Programming knowledge of Python and Java, Cloud platforms and distributed systems, and data pipelines then it would be easier for you to follow our course.

  • What book do you suggest reading for Big Data Engineering?

    Our Big Data Engineer training is enough to help you learn all the concepts and gain the right skills. However, you can also refer to the following books for future reference:

    • Learning Spark by Holden Karau
    • Spark: The Definitive Guide: Big Data Processing Made Simple by Bill Chambers
    • Big Data: Principles and best practices of scalable real-time data systems by Nathan Marz

  • What is the pay scale of Big Data engineers across the world?

    Big data engineers are among the most sought-after professionals these days and command lucrative salaries across the world. Having a certification further increases their earning potential. Mentioned below are the average annual salaries of big data engineers in popular countries (source: Payscale):

    • India - INR 830K
    • The UK - £43,725
    • Canada - CA $80K
    • The US - $116,591

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