Explore the job of a big data engineer in a risk-free way at Amex. This job exploration program helps you understand the job role, get immersed in simulated workplace scenarios and gain real-world knowledge of data analytics.
New-Age Technologies
Big Data Engineer
American Express
(Bundled programs available at a 50% discount)
Explore the job of a big data engineer in a risk-free way at Amex. This job exploration program helps you understand the job role, get immersed in simulated workplace scenarios and gain real-world knowledge of data analytics.
Explore the job of a big data engineer and learn what it is like to work in a company like Amex.
Identify hard, soft and cognitive skills required for the job and find resources to learn or improve them.
Understand how to apply your skills in real-world work, with an idea about the tools and techniques used.
Based on your educational background, apply to an early career opportunity or an online course.
If you don't have a job-related educational background, a job exploration program helps you:
If you have a relevant educational background, a job exploration program helps you:
Gain insights into how a challenge is solved in the big data engineer job role through this simulated case study.
The Background:
One of the most prevalent — and preventable — types of cybercrime is credit card fraud, which is exacerbated by the growth in online transactions.
Developing techniques that more accurately identify and decline fraudulent purchase attempts helps Amex protect its customers and merchants.
The Challenge:
Millions of buyers and millions of sellers together make billions of transactions that lead to over a trillion combinations and dollars in transactions a year in charge volume.
Hence, Amex must try to provide customers with a safe way to pay, reduce the amount of fraud, and create trust within the customers.
The Solution:
In most financial fraud use cases, machine learning systems are built on historical transactional data.
The systems use deep learning models to scan incoming payments in real-time, identify patterns associated with fraudulent transactions, and then flag anomalies.
Big Data Engineer Job Role
Real-World Work
Your Network
Work Opportunity
Go through an introduction about data analytics including types, methods, tools used, key skills associated with analytics, and career outlook including the salary, job titles and prospects.
Get immersed in a simulated workplace environment to explore the data analytics job through a case study. Instructions to complete the case study with ease are included here.
Cultivate an idea about the company, industry, job responsibilities, revenue model, vision, mission, and company culture and gain insights into how a challenge is solved in the given job role through a simulated case study.
Job shadowing allows you to shadow and closely observe a 'Day in the Life of' an employee's routine through a video or an immersive study. It is an informal way to learn what it is like to perform this job and develop a deeper knowledge and understanding of it.
Discover how to apply your learning through practical tasks offered separately for learners based on their educational background.
Start your career by applying to an early career opportunity or an online course based on your educational background.
While exploring the job role and working on interesting tasks, you also:
I now have a better idea of what it is to work as an analyst. This exposure helps me stand out.
Working on work exposure meant there were fewer barriers, so I could jump right into a project.
I highly recommend this program. It provides practical experience that will add value to your resume.
I've got an outline of the skills that are essential for a data analyst and ways to improve them.
Thanks to this exploratory program, now I'm confident to apply for the position of a data analyst.
I am extremely grateful for this job exploration program as it has turned my dreams into reality.
Any college student or a graduate from any stream/discipline can undertake this job exploration program.
If you are just starting, you might find some concepts challenging. But no worries! We have included explanations wherever necessary to make even a novice learner understand them. After all, our objective is to support newbies explore data analytics.
Undertaking this program as an absolute beginner allows you to explore the job role and understand what it is like to work in the data analytics field.
The objective of this program is to help you gain surface knowledge of a new field apart from your field of study.
This is an introductory level that provides an introduction to the subject, includes a practical and "user-friendly" definition of terms, and discussion of concepts that are commonly used in the field.
Surface knowledge, the foundational understanding of a subject's basic facts and concepts, is crucial as it serves as a necessary stepping stone for deeper learning, enabling learners to grasp more complex ideas later on.
The purpose of this job exploration program is to help you identify the skills that align with your career goals and begin building your unique T-shaped profile to improve your employability.
You'll be part of our Truly Responsible Community that includes various resources to support your professional growth.
Apply to a suitable online Data Analytics course suggested in this program to start your career in Data Analytics.
Yes, it is 100% online. A reliable internet connection is required to take this job exploration program.
No download or installation is required, and the job exploration program is browser-based. The entire program can be completed from your browser, so you don’t need to install any new software or hardware. For the best experience, we recommend using latest versions of Chrome, Safari, or Firefox.
You can access the program from any device of your choice: PC, laptop, tablet, or mobile phone (iOS, Android, and Windows Phone).
You will get 'Certificate of Exploration' on completing this job exploration program.
You can very well add this job exploration and add value to your resume. Including it in your resume has the potential to reflect positively on you.
You'll understand how data analytics is used in various industries giving you wider exposure.