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 is the eligibility criteria?
While not mandatory, having a basic understanding of data analytics is recommended for 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 even newbies explore data analytics.
Undertaking this program as an absolute beginner allows you to explore the job role, complete all modules designed for beginners and understand what it is like to work in the data analytics field.
Can I pursue a career in data analytics from any background?
With the right training, practice, and dedication, anyone from any background can learn and pursue data analytics. However, it is important to build foundational subject knowledge before learning the key skills associated with data analytics. Remember that you might encounter a steep learning curve depending on your current position.
What type of resources are included to learn or improve relevant skills?
If you have a relevant educational background, you can improve your skills with resources offered by companies (through their early career programs) or third-party websites and vendors.
If not, you can learn job-relevant skills by applying to a suitable online course suggested in this program.
Why should I pay for this job exploration program?
You pay only a nominal fee of ₹599 to take this job exploration program but the experience you receive is priceless. An employer is likely to recognize the effort involved and attribute your hard work to the task. It also demonstrates your sincere pursuit in a field, as pay did not dictate your work.
Will I get a job on completing this job exploration program successfully?
While there's no such assurance, you can apply to the relevant early career opportunities offered by companies. Do remember that acceptance into such opportunities depends on the selection criteria set by the respective company and your performance in the practical tasks.
What if I don't get any early career opportunities upon completing this program?
Even if you don't receive any opportunities after completing the program, the confidence gained from finishing this program allows you to pursue similar job opportunities from other companies.
What additional benefits do I receive besides applying to early career opportunities?
This job exploration helps you experience the data analytics field and decide if a career in data analytics is right for you before making a long-term commitment. You'll also be provided with necessary resources that help you improve your skills and qualify yourself to pursue a data analytics career.
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 get 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)
