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.
Application closes on
3 Jan, 2025Program duration
7 monthsLearning Format
Live, Online, InteractiveJoint program completion certificate from Purdue University Online and Simplilearn
Joint program completion certificate from Purdue University Online and Simplilearn
Gain access to Purdue’s Alumni Association membership on program completion
Learn courses that are aligned with AWS, Microsoft, and Snowflake certifications
Build your resume and highlight your profile to recruiters with our career assistance services.
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 program equips you with the latest tools (Python, SQL, Cloud, Big Data) to tackle complex data challenges. Master data wrangling, build data pipelines, and gain Big Data expertise (Hadoop, Spark) through this program.
Fast-track your career as a data engineering professional with our course. The curriculum 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.
Understand the fundamental concepts of the AWS platform and cloud
computing
Identify AWS concepts, terminologies, benefits, and deployment
options to meet business requirements
Identify deployment and network options in AWS
Describe Azure storage and create Azure web apps
Deploy databases in Azure
Understand Azure AD, cloud computing, Azure, and Azure
subscriptions
Create and configure VMs in Microsoft Azure
Implement data storage solutions using Azure SQL Database, Azure
Synapse Analytics, Azure Data Lake Storage, Azure Data Factory,
Azure Stream Analytics, Azure Databricks services
Develop batch processing and streaming solutions
Monitor Data Storage and Data Processing
Optimize Azure Data Solutions
By the end of the course, you can showcase your newly acquired skills in a hands-on, industry-relevant capstone project that combines everything you learned in the program into one portfolio-worthy example. You can work on 3 projects to make your practice more relevant.
The GCP Fundamentals course will teach you to analyze and deploy infrastructure components such as networks, storage systems, and application services in the Google Cloud Platform. This course covers IAM, networking, and cloud storage and introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform.
This course introduces Source Code Management (SCM), focusing on Git and GitHub. Learners will understand the importance of SCM in the DevOps lifecycle and gain hands-on experience with Git commands, GitHub features, and common workflows such as forking, branching, and merging. By the end, participants will be equipped to efficiently manage and collaborate on code repositories using Git and GitHub in real-world scenarios.
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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 datasets from 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 Professional Certificate Program in Data Engineering caters to working professionals across different industries. Learner diversity adds richness to class discussions.
I’m Christian Lopez, a Cognitive Neuroscience graduate from UC San Diego, now working as a data scientist at a leading Las Vegas bank. With skills in data wrangling, machine learning, and big data, I joined Purdue's PGP in Data Engineering via Simplilearn to boost my career. The program was top-notch, and I enjoyed every module. It provided me with new projects at work and a 10% salary hike. My goal is to specialize in AWS Data Analytics and transition into cloud engineering.
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 want to take 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$ 2,690. 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.
A$ 269/mo
You can pay monthly installments for Post Graduate Programs using Splitit payment option with 0% interest and no hidden fees.
Date
Time
Batch Type
3 Jan, 2025
01:00 AEDT
23 Feb, 2025 - 1 Sep, 2025
01:00 - 05:00 AEDT
WeekendSuM
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.
Today, small and large companies depend on data to help answer important business questions. Data engineering plays a crucial role in supporting this process, making it possible for others to inspect the data available reliably making them important assets to organizations, earning lucrative salaries worldwide. Here are some average yearly estimates:
Yes, data engineers are expected to have basic programming skills in Java, Python, R or any other language.
After completing this program, you will be eligible for the Purdue University Alumni Association membership, giving you access to resources and networking opportunities even after earning your certificate.
We offer 24/7 support through chat for any urgent issues. For other queries, we have a dedicated team that offers email assistance and on-request callbacks.