Simplilearn and IBM have come together in this exciting collaboration for our big data engineer training in Sydney. This top training program teaches aspiring big data engineers the essentials that will help them jump start their careers. From AWS services to Hadoop frameworks, students learn the tools needed to excel when they enroll in our big data engineer training in Sydney.
Joint certificate from Purdue university and Simplilearn
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Build your resume and prepare for interviews with valuable insights from industry experts
14+ industry relevant projects from the likes of Amazon, Facebook, YouTube, and many more
The data engineer course in Sydney primarily focuses on using the Hadoop framework for distributed processing, Spark for large-scale processing of data, and AWS, along with Azure cloud infrastructures for processing data. On completing this data engineer course in Sydney, you equip yourself for a career in data engineering.
This Data Engineering postgraduate program in partnership with Purdue University leverages Purdue’s academic excellence & Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Engineering domain.
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.
Get started with the Data Engineering certification course in partnership with Purdue University and explore the basics of the program. Kick-start your journey with preparatory courses on Data Engineering with Scala and Hadoop, and Big Data for Data Engineering.
With this Data Engineering certification course, you will gain insights into how to improve business productivity by processing large volumes of data and extracting valuable information.
Data Engineering certification course covers how to navigate the AWS management console; understand AWS security measures, storage, and database options; and gain expertise in web services like RDS and EBS.
With Data Engineering certification course you will become familiar with the Amazon Web Services (AWS) cloud platform, including Kinesis Analytics, and AWS big data storage, processing, analysis, visualization, and security services.
With Data Engineering Certification Course, you will learn to create the most common Azure services, including virtual machines, web apps, and SQL databases. Learn the key features of Azure Active Directory and the methods of integrating the cloud service with on-premises Active Directory.
Data Engineering certification course covers the implementation of data solutions; manage and develop data processing; and monitor and optimize data solutions using the following Azure services: Azure Cosmos DB, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.
By the end of Data Engineering certification course, showcase your new Data Engineering skills with a hands-on, industry-relevant capstone project bringing everything you learned in the program together into one portfolio-worthy example. You can choose to work on projects in ecommerce, BFSI, or video sharing to make your practice more relevant.
Data Engineering certification course helps learners to activate their knowledge of Python for Data Science and familiarize themselves with programming through this introductory course (carefully crafted by IBM).
Data Engineering certification course helps you understand how to build and implement data-intensive applications as you dive into the world of high-performance machine learning.
Throughout this Data Engineering certification course, you will learn the basics of Apache as a centralized service and develop the skills to deploy Kafka for real-time messaging.
At the end of Data Engineering certification course, you will master the skills of data modeling, ingestion, querying, sharding, and replication.
This Data Engineering certification course syllabus includes Google Cloud Platform Development Essentials.
If you’re looking to master web application development for virtually any computing platform, this Java Certification Training course is for you. This training course will give you a firm foundation in Java, the most commonly used programming language in software development.
Industry Master Class – Data Engineering
Attend an online interactive masterclass to gain more insight into advancements in Data Engineering.
( Toll Free )
Conduct Market analysis for online grocery delivery and pick-up service utilizing a data set of a large sample size.
Measure user interactions to rank the top trending videos on YouTube and determine actionable insights.
Build visualization for the sales data using a dashboard to estimate the demand for all locations. This will be used by a retailer to make a decision on where to open a new branch.
Upload data to Azure Data Lake Storage and save large data sets to Delta Lake of Azure Databricks so that files can be accessed at any time.
Monitor the performance of an EC2 instance to gather data from all parts and understand debugging failure.
Analyze the sales data to derive significant region-wise insights and include details on the product evaluation.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Aly El Gamal has a Ph.D. in Electrical and Computer Engineering and M.S. in Mathematics from the University of Illinois. Dr. El Gamal specializes in the areas of information theory and machine learning and has received multiple commendations for his research and teaching expertise.
The global big data and data engineering services market is expected to grow from USD 130.7 billion in 2020 to USD 234.6 billion by 2025, at a CAGR of 10.2% (Source: Global Industry Analytics Inc)
Expected New Jobs For Data Analytics And Science Related Roles
YOY Growth For Data Engineer Positions
Average Annual Salary
This Data Engineering postgraduate program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this Data Engineering course in 3 steps. Selected candidates receive an admission offer which is accepted by admission fee payment.
Tell us why you’d want to do this Data Engineering course
An admission panel will shortlist candidates based on their application
Selected candidates can begin the Data Engineering course within 1-2 weeks
For admission to this Data Engineering course, candidates should have:
The admission fee for this Data Engineering course is A$ 3,590. It covers applicable program charges and the Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
19 Jun, 2023
24 Jun, 2023 - 1 Jan, 2024
23:30 - 03:30 AEST
Weekend (Sat - Sun)
4 Jul, 2023
26 Aug, 2023 - 1 Apr, 2024
23:30 - 03:30 AEST
Weekend (Sat - Sun)
Data Engineering is an aspect of Data Science focused on the practical application of data collection and data pipelining. A Data Engineer builds and maintains the organization’s data pipeline and data processing systems by cleaning and wrangling it to ensure reliable data.
For admission to this Post Graduate Program in Data Engineering in Sydney, candidates need:
The admission process consists of three simple steps:
To ensure money is not a barrier in the path of learning, we offer various financing options to help ensure that this Post Graduate Program in Data Engineering in Sydney is financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of this program in Sydney, you will be awarded a Post Graduate Program in Data Engineering certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path.
The average salary of a Big data engineer in Sydney is AU$99,995 per year. However, if you gain the necessary skills and knowledge about Big data engineering by enrolling in data engineering training in Sydney, the average salary will increase.
Some of the major companies in Sydney, looking to hire professionals for the post of Big data engineer are Accenture, D TEX Systems, IBM, The Weir Group PLC, Luxoft, etc. If you hold a certification in data engineering training in Sydney, you will have excellent opportunities to work as a Big data engineer in any of the above companies.
Oil, gas, and utilities are major revenue generators for Sydney’s economy. Apart from this, there are also other industries like commerce, transport, retailing, tourism, finance, that construct the economy of Sydney. Notably, each of these industries wants to leverage the services of a Big data engineer who will develop, maintain, test, and evaluate the big data of these industries. If you have completed a data engineering course in Sydney, have a promising career in this field.
To become a Big data engineer in Sydney, you need to have a bachelor's degree in any technical subject like computer engineering or information technology. Few internships with the data engineering teams of companies are a bonus for your resume. A data engineering course in Sydney and a subsequent certification will seal the deal for you to land a dream job in any company of your choice.
There are numerous universities and institutes across Sydney offering Big data engineering courses. But before enrolling yourself in a data engineering course in Sydney, it is crucial to do a background check of the institute you choose. Experience of the teaching faculty, how the courses are structured, areas of the subject they cover, duration of the one, if duration offered is enough to gain ample knowledge, do they provide placement assistance; these are some of the questions you need to ask. Numerous online platforms are springing up with compelling courses as well.
Yes, you can join the Data Engineer Course even if you do not belong to a technical background. However, having a good hand at object-oriented programming languages will be beneficial.
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in this Data Engineering Course.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data Engineering certification course.
Learning new skills and expanding your knowledge is always a plus point. Simplilearn's Data Engineering Course is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the Data Engineering Course just the right one for you!
Data has taken the world by storm and the more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Engineer Course is only going to be an advantage.
You will get eligibility to Purdue Alumni Association Membership after completion of the Data Engineering course.
Once you make the first installment of the program fee, you will also get access to Data Engineering modules with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.
Yes, you can enroll in the Data Engineering course even if you don’t have any prior knowledge in Data Engineering since this program will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Engineering skills.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Engineering on your first attempt. They proactively engage students to assure they’re following the course path and help enrich their learning experience, from class onboarding to project mentoring and job assistance.
Our highly qualified Data Engineering instructors 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 part of our faculty.
Yes, you can access the Data Engineering course content even after the completion of the program.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
We offer 24/7 support through email, chat, and telephone. We 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 Data Engineering certification course.
Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.
Professional Certificate Program in Data Engineering is offered on a non-credit basis and is not transferable to a degree.
Simplilearn’s Data Engineering certification course helps you learn all the concepts from scratch. The instructors are highly qualified and know what skills employers seek when hiring for data engineering positions. They take you through crucial topics like the Hadoop framework, data processing with Spark, and Big Data on AWS with ease and you can follow them at your convenience.
There are only a few courses in the market that offer a university degree along with industrial exposure through a renowned tech company. This Data Engineering certification course is packed with industry projects, masterclass and hackathons by IBM, capstone projects, along with job assistance.
You can dedicate around 5 to 10 hours per week to complete this Data Engineering course in 8 months. You can also change the study plan as per convenience.
There are no specific system requirements for this Data Engineering certification course. A working system connected to the internet is enough to access the course materials.
There are many skills employers seek for a data engineer position. You need to study about core math concepts, big data tools and techniques, data pipelines, data warehousing, data cleaning, Hadoop, basic programming, and Apache Spark to become a Data Engineer. Our Data Engineering certification course covers all of these areas in detail.
Data Engineers command lucrative salaries across the world. They earn an average annual salary of Rs. 830K in India, £43,725 in the UK, $116,591 in the US, CA $80K in Canada, and AU$ 103,346 in Australia.
Capstone projects are now a part of every reliable online certification course. They basically help individuals to reinforce their practical learning. Such projects involve real-world problems and individuals work on real-world data sets with virtual labs to gain hands-on learning experience and become job-ready.