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With this program, you will be able to enter the world of big data engineering. There will be Q&A sessions. From this program, you will learn many skills such as Hadoop frameworks, big data, leveraging AWS services, and managing a database.


After completing this program, you will receive certificates, both from IBM courses and Simplilearn that will testify your skills as an expert of big data engineering. Other than that, you will also receive:

  • QnA session with IBM leadership
  • Masterclass by experts from IBM
  • Hackathons by IBM
  • Industry recognized certification


Live interaction with IBM leadership

Interactive courses with IBM leadership

Capstone and 15+ real life projects

Datasets that are based from Youtube, Glassdoor, Facebook

120+ hours of live online classes by industry experts

Live Online classes by industry experts


Training Options

Learn world class knowledge at your own comfort place. With self pace and online live training, you will benefit great knowledge and network from other students all over the world.

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Big Data Engineer

idr 13.000.000

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This program is suitable for those who are dealing in builds and maintains a data structure, ingestion data, processing, and also with the large scale deployment such as database administrators, IT professionals, beginners in the data engineering program


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


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

Talk about Big Data Engineer certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it – tell your friends and colleagues about it.


What other say about the program from Simplilearn


Develop skills for real career growth

Sharp and complete curriculum to guide you to become a well-prepared digital marketers

Learn from experts active in their field, not out-of-touch trainers

Having the best practitioners in the field that could lead to better practices and well-fitted work schedule’s case studies for your effectiveness

Learn by working on real-world problems

Giving Industry-based projects to make you adapt to real-world problems

Structured guidance ensuring learning never stops

Learning support that is always available for you through our student counselor and community


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.

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.

These Big Data courses developed in collaboration with IBM will give you insights into the Hadoop ecosystem, Big 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 program will train you on Big Data and Hadoop, Hadoop clusters, MongoDB, PySpark, Kafka architecture, SparkSQL, and much more to become an expert in Big Data Engineering.

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 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 program
  • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

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

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

CourseCourse Completion CertificateCriteria
Big Data for Data EngineeringRequired85% of online self-paced completion
Big Data Hadoop and Spark DeveloperRequired85% 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 TrainingRequired85% of online self-paced completion
MongoDB Developer and AdministratorRequired85% 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 KafkaRequired85% of online self-paced completion
Big Data on AWSRequiredAttendance of one Live Virtual Classroom AND successful evaluation in at least one project

You can enroll in this Big Data Engineer certification course on our website and make an online payment.

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

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

The career path for a Big Data aspirant is:

  • Operating system – You need to learn about the popular operating systems on which big data tools run
  • Programming – Get an in-depth understanding of programming languages to process data easily and efficiently
  • DBMS and SQL – Learn to write SQL queries which are needed to optimally manage data in databases
  • ETL and warehousing tools – Study the ETL tools critical to the aggregation and analysis of unstructured data from different sources
  • Hadoop and Spark frameworks – Process and analyze large volumes of data with a thorough knowledge of Hadoop and Spark
  • Data mining and modelling – Understand how to analyze existing data and discover patterns for creating predictive data models

Once you are done with the aforementioned steps, you can become a Big Data professional.

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

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

The top five companies hiring Big Data professionals are:

  • IBM
  • Microsoft
  • Facebook
  • Oracle
  • Amazon

Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.

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.

All of our highly qualified Big Data Engineer course 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.

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.

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 Engineer course with us.

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

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.

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 certification, there is no reason why you can’t earn even higher.

The difficulty level of a big data engineer 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.

There are no prerequisites associated with this big data engineer course. However, it is beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking this course.

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

Java, Python, R, SQL, and Scala are the most commonly used languages in the field of big data.



We have several others program that can help you grow in personal & professional life. Check our other program.

Talk to us if you need to discuss which program that suit you the best.

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