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.
Sector
New-Age Technologies
Job Role
Big Data Engineer
Simulated Workplace
American Express
₹599
(Bundled programs available at a 50% discount)
Harnessing the Power of Data to Detect and Prevent Credit Card Fraud
What You Do
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.
Program Outcome
If you don't have a job-related educational background, a job exploration program helps you:
- Explore the job and determine if it suits you before you commit
- Apply to a suggested online course if you wish to pursue the job
- Even if you don't pursue the job, you still gain a basic multidisciplinary knowledge that increases your professional value
If you have a relevant educational background, a job exploration program helps you:
- Experience real-world work
- Improve the skills with the resources provided to you
- Apply to a suitable early career opportunity (Internship, apprenticeship, entry-level job, graduate program, etc.)
Real-World Case Study
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.
- Program Duration: Around 5 hours
- Access Availability: 30 days
- Download Material: Case study in PDF
- Learning: 100% online on your mobile or computer
- Schedule: Self-paced and learn on your own schedule
- Requirements: No prior experience or degree is necessary; all you need is a willingness to explore and experience!
- Language: English
Explore
Big Data Engineer Job Role
01
Experience
Real-World Work
02
Grow
Your Network
03
Gain
Work Opportunity
04
Job Exploration Program Schedule
1. Job Overview
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.
2. Case Study Instructions
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.
3. Real-World Case Study
(Credit: Amex)
Using Data To Detect And Prevent Credit Card Fraud
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.
4. Job Shadowing
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.
5. Job Simulation
Practical Tasks
Discover how to apply your learning through practical tasks offered separately for learners based on their educational background.
6. Start Your Career
Get Career-Ready
Start your career by applying to an early career opportunity or an online course based on your educational background.
Added Benefits
While exploring the job role and working on interesting tasks, you also:
Gain basic
domain knowledge.
Improve
commercial awareness.
Develop
big-picture thinking.
Find
job alignment.
Learner Reviews
Diya (EEE, Final year)
BangaloreI now have a better idea of what it is to work as an analyst. This exposure helps me stand out.
Deshak (ECE, 3rd Year)
BangaloreWorking on work exposure meant there were fewer barriers, so I could jump right into a project.
Priya (Computer Science Graduate)
AhmedabadI highly recommend this program. It provides practical experience that will add value to your resume.
Vishnu (Mathematics, 1st Year)
ChennaiI've got an outline of the skills that are essential for a data analyst and ways to improve them.
Rithish (Statistics, Final Year)
MumbaiThanks to this exploratory program, now I'm confident to apply for the position of a data analyst.
Daniel (Economics Graduate)
CoimbatoreI am extremely grateful for this job exploration program as it has turned my dreams into reality.
FAQs
Who can take this job exploration program?
Any college student or a graduate from any stream/discipline can undertake this job exploration program.
What if I'm completely new to data analytics?
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.
What is the level of knowledge gained through this job exploration program?
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.
Will I get a job on completing this job exploration program successfully?
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.
What other benefits do I get apart from gaining knowledge of a new field?
You'll be part of our Truly Responsible Community that includes various resources to support your professional growth.
What if I wish to pursue my career in Data Analytics?
Apply to a suitable online Data Analytics course suggested in this program to start your career in Data Analytics.
Is the job exploration program 100% online?
Yes, it is 100% online. A reliable internet connection is required to take this job exploration program.
Should I download any app or software to access the job exploration program modules?
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.
Which device should I use to access the job exploration program?
You can access the program from any device of your choice: PC, laptop, tablet, or mobile phone (iOS, Android, and Windows Phone).
Will I receive a certificate?
You will get 'Certificate of Exploration' on completing this job exploration program.
Can I add this job exploration to my resume?
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.
What is the benefit of opting for bundled job exploration programs rather than taking a single job exploration program?
You'll understand how data analytics is used in various industries giving you wider exposure.
Offer Price (Bundled 5 Data Analytics Job Exploration Programs)
4. Using Data to Plan Engine Maintenance and Minimize Disruptions
(Data Analytics Engineer, Rolls-Royce)
₹2999 ₹1499
(Enjoy 50% discount)
