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Big Data Engineer

Love data? This Big Data Engineering Bootcamp program helps gain industry expertise working with big data tools such as Hadoop and NoSQL, including best practices for data storage, and leveraging the functionality of AWS services.

Delivered by Simplilearn in collaboration with IBM, this Bootcamp helps students gain job readiness abilities to prepare them for a career in Big Data Engineering.
  • Discounted Upfront Price: $2,235  $1,935

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Delivery Mode
This Bootcamp Program includes live virtual classes + self paced learning
Build Actionable Expertise
Showcase your hands-on industry skills by working on industry projects and hackathons held by IBM
Learn From World Class Instructors
Gain tremendous knowledge in live masterclasses and ask-me-anything sessions
Programs Made For Job Readiness
Fast-track your career by learning from industry experts and develop job ready skills

Course Summary

12 months
Access For
12 months
7 courses
$1,935 incl. GST
Flexible payment plans

This Big Data Engineer Bootcamp program helps you gain deep knowledege and experience in data engineering world. Over 7 courses, build in-demand employable skills with our specialised data engineering training courses including topics such as Big Data & Hadoop frameworks, and leverage the functionality of AWS services. The Big Data Engineering certification course helps you learn to use the database management tool and MongoDB via interactive sessions & industry projects.

What you will learn

By the end of this Bootcamp Program, you will accomplish the following:

  • Gain deep knowledge and actionable skills in big data engineering tools e.g. Data Model Creation, Database Interfaces and more

  • Build competency in modelling and replicating data

  • Build practical experience in working with Kafka Connect.

Course Structure

Delivered by Simplilearn in collaboration with IBM, this Big Data Engineer Bootcamp program is designed to help build comprehensive knowledge and job ready skills in the world of big data. Over 7 courses, you will build an in-depth understanding of working with big data engineering tools such as Data Model Creation, Database Interfaces, Advanced Architecture, Scala, Spark SQL, Flume and more.

The course will equip you with big data model data, perform ingestion, replicate data, and share data using a NoSQL database management system MongoDB and hands-on experience working with data integration tools such as Kafka Connect.

By the end of the Big Data Engineer certification course, you will receive the certificates from IBM (for IBM Data Engineering courses) and Simplilearn for each individual courses in the learning path. These certificates is a demonstration of your skills as an expert in Big Data Engineering after the completion of training, helping you gain a competitive edge in your portfolio.
  • Course 1 - Big Data for Data Engineering

    This Big Data for Data Engineering delivered by IBM will equip you with the in-demand techniques of Big Data, including data ingestion and processing through Apache Hadoop framework. By the end of this Data Engineering course, you will gain insights on how to improve business productivity by processing large volumes of data and extracting valuable information from them.

    -Lesson 1: Welcome
    -Lesson 2: What is Big Data
    -Lesson 3: Beyond the Hype
    -Lesson 4: Big Data and Data Science
    -Lesson 6: Processing Big Data
    -Lesson 7: Course Summary

    Free course: Data Engineering with Hadoop 
    -Lesson 1: Learning Objectives
    -Lesson 2: Introduction to Hadoop
    -Lesson 3: Hadoop Architecture and HDFS
    -Lesson 4: Hadoop administration
    -Lesson 5: Hadoop Components

     Free course: Data Engineering with Scala 

    -Lesson 1: Learning Objectives
    -Lesson 2: Introduction
    -Lesson 3: Basic Object Oriented Programming
    -Lesson 4: Case Objects and Classes
    -Lesson 5: Collections
    -Lesson 6: Idiomatic Scala

    Course delivery format: online learning only 
  • Course 2 - Big Data Hadoop and Spark Developer 


    Master the skills of Big Data Hadoop framework and implement Big Data tools and methodologies in this course delivered by Simplilearn. Learn how to work with Spark applications, parallel processing and functional programming in real world projects. At the end of this course, you will acehive a Big Data Hadoop certification that will bolster your job ready skills and help you stand out from the crowd.

    -Lesson 1: Course Introduction
    -Lesson 2: Introduction to Big Data and Hadoop
    -Lesson 3: Hadoop Architecture,Distributed Storage (HDFS) and YARN
    -Lesson 4: Data Ingestion into Big Data Systems and ETL
    -Lesson 5: Distributed Processing - MapReduce Framework and Pig
    -Lesson 6: Apache Hive
    -Lesson 7: NoSQL Databases - HBase
    -Lesson 8: Basics of Functional Programming and Scala
    -Lesson 9: Apache Spark Next Generation Big Data Framework
    -Lesson 10: Spark Core Processing RDD
    -Lesson 11: Spark SQL - Processing Data Frames
    -Lesson 12: Spark MLLib - Modelling Big Data with Spark
    -Lesson 13: Stream Processing Frameworks and Spark Streaming
    -Lesson 14: Spark GraphX
    -Practice Projects

    Free Course: Core Java 
    -Lesson 1: Introduction to Java 11 and OOPs Concepts
    -Lesson 2: Utility Packages and Inheritance
    -Lesson 3: Multithreading Concepts
    -Lesson 4: Debugging Concepts
    -Lesson 5: JUnit
    -Lesson 6: Java Cryptographic Extensions
    -Lesson 7: Design Pattern

    Free Course: Linux Training 
    -Lesson 1:  Course Introduction
    -Lesson 2: Introduction to Linux
    -Lesson 3: Ubuntu
    -Lesson 4: Ubuntu Dashboard
    -Lesson 5: File System Organization
    -Lesson 6: Introduction to CLI01
    -Lesson 7: Editing Text Files and Search Patterns
    -Lesson 8: Package Management
    -Practice Project

    Course delivery format: online learning + live virtual classes 

  • Course 3 - PySpark Training Course

    Prepare to take your Python coding to the next level as you master PySpark, the powerful development framework for Big Data. We'll teach you the data science tools and techniques required to become a successful PySpark developer.

    -Lesson 1: A Brief Primer on PySpark
    -Lesson 2: Resilient Distributed Datasets
    -Lesson 3: Resilient Distributed Datasets and Actions
    -Lesson 4: DataFrames and Transformations
    -Lesson 5: Data Processing with Spark DataFrames

    Free Course: Python for Data Science 

    Course delivery format: online learning only 

  • Course 4 - Apache Kafka

    This Kafka certification from Simplilearn will give you extraordinary insights into how to process huge amounts of data using various Kafka tools. You will learn how to better leverage Big Data analytics with this Kafka training course. Take advantage of our blended learning approach for this course and earn your high-paying job as a Kafka developer.

    Section 1 - Introduction to Apache Kafka 
    -Lesson 1:  Course Introduction
    -Lesson 2:  Big Data Overview
    -Lesson 3:  Big Data Analytics
    -Lesson 4:  Messaging System
    -Lesson 5:  Kafka Overview
    -Lesson 6: Kafka Components and Architecture
    -Lesson 7: Kafka Clusters
    -Lesson 8: Kafka Industry Use Cases
    -Lesson 9: Demo: Install Kafka and Zookeeper
    -Lesson 10: Demo: Single Node Single-Multi Broker Cluster
    -Lesson 11: Key Takeaways

    Section 2 - Kafka Producer 
    -Lesson 1: Overview of Producer and Its Architecture
    -Lesson 2: Kafka Producer Configuration
    -Lesson 3: Send Messages
    -Lesson 4: Serializers
    -Lesson 5: Partitions
    -Lesson 6: Key Takeaways

    Section 3 - Kafka Consumer 
    -Lesson 1: Kafka Consumer - Overview, Consumer Groups and Partitioners
    -Lesson 2:  Poll Loop
    -Lesson 3:  Configuring Consumer
    -Lesson 4:  Commit and Offset
    -Lesson 5:  Rebalance Listeners
    -Lesson 6:  Consuming Records with Specific Offset
    -Lesson 7:  Deserializers
    -Lesson 8: Key Takeaways

    Section 4 - Kafka Operations and Performance Tuning
    -Lesson 1: Learning Objectives
    -Lesson 2: Replications
    -Lesson 4: Storage
    -Lesson 5: Configuration in Reliable System
    -Lesson 6: Key Takeaways

    Section 5 - Kafka Cluster Architecture and Administering Kafka 
    -Lesson 1:  Learning Objectives
    -Lesson 2:  Multi Cluster Architecture
    -Lesson 3:  MirrorMaker
    -Lesson 4: Administering Kafka
    -Lesson 5: Dynamic Configuration Changes
    -Lesson 6: Console Producer Tool
    -Lesson 7: Console Consumer Tool
    -Lesson 8: Key Takeaways

    Section 6 - Kafka Monitoring and Schema Registry 
    -Lesson 1:  Monitoring
    -Lesson 2:  Kafka Schema Registry and Avro
    -Lesson 3:  Kafka Schema Registry Components
    -Lesson 4:  Kafka Schema Registry Working
    -Lesson 5:  Key Takeaways

    Section 7 - Kafka Streams and Kafka Connectors
    -Lesson 1: Kafka Stream Overview
    -Lesson 2: Kafka Stream Architecture, Working and Components
    -Lesson 3: Stream Concepts and Working
    -Lesson 4: Kafka Connectors
    -Lesson 5: Kafka Connector Configuration
    -Lesson 6: Key Takeaways

    Section 8 - Integration of Kafka with Storm 
    -Lesson 1: Apache Storm
    -Lesson 2:  Apache Storm Architecture and Components
    -Lesson 3: Apache Storm Topology
    -Lesson 4: Kafka Spout
    -Lesson 5: Integration of Apache Storm and Kafka
    -Lesson 6: Key Takeaways

    Section 9 - Kafka Integration with Spark and Flume
    -Lesson 1: Introduction to Spark and It_s Components
    -Lesson 2: Basics of Spark - RDD, Data Sets, and Transformation and Actions
    -Lesson 3: Spark Stream
    -Lesson 4: Spark Integration with Kafka
    -Lesson 5: Flume
    -Lesson 6: Flume Kafka to HDFS Configuration
    -Lesson 7: Key Takeaways

    Section 10 - Admin Client and Securing Kafka 

    -Lesson 1: Admin Client
    -Lesson 2: Kafka Security
    -Lesson 3: Kafka Security Components
    -Lesson 4: Configure SSL in Kafka
    -Lesson 5: Secure using ACLs
    -Lesson 6: Key Takeaways

    Course delivery format: online learning only 
  • Course 5 - MongoDB Developer and Administrator

    MongoDB is a reliable and scalable NoSQL database that helps businesses to handle massive data in order to achieve business priorities. This online certification course will help you learn how to use MongoDB as a document-oriented database, including various concepts of MongoDB, basic query language and other advanced features. This MongoDB course delivered by Simplilearn is integrated with industry projects, lab exercises and various demonstrations to help explain key concepts, helping you build your skillset in Big Data. 

    -Course Introduction
    -Lesson 1:  Introduction to NoSQL databases
    -Lesson 2:  MongoDB A Database for the Modern Web
    -Lesson 3:  CRUD Operations in MongoDB
    -Lesson 4:  Indexing and Aggregation
    -Lesson 5:  Replication and Sharding
    -Lesson 6:  Developing Java and Node JS Application with MongoDB
    -Lesson 7:  Administration of MongoDB Cluster Operations

    Course delivery format: online learning + live virtual classes
  • Course 6 - AWS Data Analytics Certification Training

    This AWS Data Analytics course will set you up to pass the industry-recognised AWS Certified Data Analytics Specialty exam. Developed by industry experts, this AWS course will help you gain a strong understanding of various AWS concepts including: AWS QuickSight, AWS lambda and Glue, S3 and DynamoDB, Redshift, Hive on EMR and more.

    Section 1 - Self-paced Curriculum
    -Lesson 1: Introduction
    -Lesson 2: Domain 01 - Collection
    -Lesson 3: Domain 02 - Storage
    -Lesson 4: Domain 03 - Processing
    -Lesson 5: Domain 04 - Analysis
    -Lesson 6: Domain 05 - Visualization
    -Lesson 7: Domain 06 - Security
    -Lesson 8: Everything Else
    -Lesson 9: Preparing for the Exam
    -Lesson 10: Appendix - Machine Learning Topics for the Amazon Web Services AWS Certified Big Data Exam
    -Lesson 11: Wrapping Up

    Section 2 - Live Virtual Class Curriculum 
    -Lesson 1 - Course Introduction
    -Lesson 2 - AWS in Big Data Introduction
    -Lesson 3 - Collection
    -Lesson 4 - Storage and Data Management
    -Lesson 5 - Processing - I
    -Lesson 6 - Processing - II
    -Lesson 7 - ETL with Redshift
    -Lesson 8 - Analysis with Machine Learning
    -Lesson 9 - Analysis and Visualization
    -Lesson 10 - Security
    -Practice Project
  • Free Course - AWS Technical Essentials 

    -Lesson 1: Introduction to Cloud Computing
    -Lesson 2: First Steps into Amazon Web Services
    -Lesson 3: Identity and Access Management (IAM)
    -Lesson 4: Networking in AWS - Virtual Private Clouds
    -Lesson 5: Elastic Compute Cloud (EC2)
    -Lesson 6: AWS Storage
    -Lesson 7: Load Balancing and Autoscaling
    -Lesson 8: DNS and Content Delivery Networks
    -Lesson 9: Monitoring, Auditing and Alerts
    -Lesson 10: Databases
    -Lesson 11: Serverless Computing
    -Lesson 12: Security and Compliance
    -Lesson 13: AWS Pricing, Billing, and Support Services
    -Lesson 14: Conclusion
    -Practice Project

    Course delivery format: online learning + live virtual classes
  • Course 7 - Big Data Capstone 


    This project will give you the opportunity to apply your skills from the previous weeks in a real-world project. With expert led mentor sessions, you'll be expected to solve a real-industry aligned problem and build skills that are employable in the world of IT. By the end of this capstone project, you'll have developed an employable skill set and an opportunity to showcase your talent to your employers.

    -Lesson 1: Data Engineer Capstone 

    Course delivery format: online learning + live virtual classes
Completion Certificate

You will gain individual certificates after completing each course

Optional electives

Optional electives are available as part of this Big Data Engineer Bootcamp Program.
These are not mandatory to complete, but are available as additional courses to study if you are interested in
expanding your knowledge and further implementing your skills.
  • Elective 1: AWS Technical Essentials 
  • Elective 2: Java Certification Training 
  • Elective 3: Industry Master Class - Data Engineering 

Tools covered

Who is this course for?

This Big Data Engineer Bootcamp program is designed for all newcomers or any professionals looking to start a career in Big Data.

Professionals wishing to succeed in this Bootcamp Program should have:
  • an undergraduate degree or high school qualification
  • any fundamental knowledge of SQL, data structures and algorithms
  • knowledge of programming basics such as Python and Java is not necessary but may be beneficial

Payment Options

Option 1 - Pay upfront and save today

Upfront Price: $2,235 $1,935 incl. GST

Save $429 when you pay upfront

RRP $2364

Option 2 - Upskilled Payment Plans

For Upskilled courses delivered by Simplilearn - we can arrange for you an interest-free, flexible and easy to manage monthly payment plan.

Speak to our Education Consultants to know more about our Flexible Payment Plans.
Call 1300 009 924 to find out more. Terms & Conditions Apply.

Career outcomes

Big Data Engineer
A big data engineer is responsible for the overall designing, building, testing and maintenance of complex data processing systems that work with large data sets.
$130k AUD
Information Technology
Database Developer
Database developers are responsible for the design, programming, construction, and implementation of new databases, as well as modifications to existing databases in order to meet user needs.
$108k AUD
Information Technology
Data Analyst
A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They work in many industries, including business, finance, criminal justice, science, medicine, and government.
$95k AUD
Information Technology

Big Data Engineer course advisor

Ronald van Loon
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - Adversitement

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 in IoT, Big Data and Data Science.

Show off your achievements

Earn your Big Data Engineer Bootcamp Certification

Digital certificates are the new way for Upskilled and Simplilearn graduates to offer proof of their hard earned knowledge or skill set. 

You will receive individual certificates after each short course. Additionally, upon completion of the entire bootcamp, you will earn a certificate demonstrating your competence and actionable expertise as a Big Data Engineer professional.

Differentiate Yourself 

Set yourself apart from the competition with the Big Data Engineer Bootcamp Certificate. 
This is your ticket to get your foot through the door and proof that you have applied Big Data Engineer knowledge and skills in real-world projects making you job ready as a full-fledged expert.

Share your achievement

You worked for it, you earned it!  Share your achievement loud and proud! Talk about your Big Data Engineer Certification on LinkedIn, Twitter, Facebook. Add it to your CV to stand out and showcase to your employers. 


What is the difference between an Online Bootcamp Program and a Short Course?

An Online Bootcamp Program is an intensive and accelerated learning program made up of a collection of self-paced eLearning components and live online classes that students are required to attend.
The Online Bootcamp program curriculum contain a combination of specifically chosen courses and career-critical skills that are aligned to a job role.

A Short Course on the other hand are shorter courses that is designed to target developing a specific skill set or topic. They generally are much quicker to complete than Bootcamp Programs.


What is Big Data Engineering?

Big Data Engineering is a branch in data science that involves designing, building, maintaining, testing and processing big data solutions.
It brings in emphasis on the development systems that allow for better workflow and access to data. It also involves working with data from various sources, cleaning, and processing data to make it ready for analysis, in order to make informed decisions to meet business requirements.

Large organisations who rely heavily on large amounts of data use sophisticated tools and complex algorithms to harness the power of data to
collect, storie and process data for their business needs.


What is the basic eligibility requirements to enrol in this Big Data Bootcamp Program?

To be eligible for this Big Data Bootcamp Program, students need to hold an undergraduate degree or a high school qualification. While not mandatory, it is beneficial to have fundamental knowledge of SQL, programming basics, data pipelines, algorithms, and data structures in order to assist with learning along this Bootcamp program.


What does a Big Data Engineer do?

Big Data Engineers are responsible for building the systems used to collect and store data for analytical and operational purposes. Typically, they use a variety of world class technology tools and programming languages to collect, store, cleanse, label, and organise unstructured data sets and using data for individual analytics applications. They work closely with data scientists and business units to transform raw information into actionable insights that help businesses make better, informed decisions.


What key skills do I need to become a successful Big Data Engineer?

Being a successful Big Data Engineer requires you to be proficient in programming languages, relational databases and SQL queries. Programmers also need to effectively build data warehouses and work with Apache Spark, Hadoop tools and frameworks. Data mining, data modeling, and other technical skills are also important.Data mining, and data modeling are other important skills of a big data engineer.

If you're interested in becoming a Big Data Engineer, our Bootcamp program can help you gain the skills you need and build job readiness.


Do I need to know how to code as a Big Data Engineer?Do I need to know how to code as a Big Data Engineer?

Coding is not mandatory in order to succeed as an Big Data Engineer. However, it would be beneficial to have a fundamental understanding of coding as it helps foster your learning and understanding of data science concepts.


Will I earn a certificate?

Yes, upon completing the course program and projects, you will gain a Automation Test Engineer certification as a demonstration of your applied practical skills and expertise, which you can showcase in your CV.


How do I enrol in the Big Data Engineer Bootcamp Program?

To enrol in this Big Data Engineer Bootcamp Program, you'll need to first submit an enquiry form via our website. You'll need to provide the following details:
  • Your Name
  • Best Phone Number
  • Email Address
Once you've submitted your online form, one of our education consultants will be in touch within 48 hours.

During the consultation, you'll be able to ask questions regarding payment options, learning content and what career outcomes you can pursue if you complete your studies.


What jobs roles can I work as upon completing the Bootcamp Program?

There are various career roles a Big Data Engineer Bootcamp Program student can work in upon completion of the online course. Some examples of career roles include: Data Architect, Business Intelligence Analyst, Data Manager and more


What payment options are available?

Enrol immediately and pay full price upfront at $1,935 or pay in split payments.
Find out more about other flexible payment plans and get in touch with one of our Education Consultants today


Get a free consultation & kickstart your career

We're always here to help you succeed. Get a free education consultation with one of our Upskilled Education Consultants about this course or simply find out what's best for you.
1300 009 924
9am - 5pm


Have more questions? Check out our FAQs

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Very supportive team. They would not let me give up on myself. Very understanding when personal circumstances occur, and supportive to get you back on track :) Couldn't thank my trainer or student support enough.


5 star

The enquiry, registration/enrolment process everything went well amazing on time delivery. I am sure I would have a great journey to go and complete the course.


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