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Table of contents
1.
Introduction
2.
About Capgemini 
3.
Data Engineer
3.1.
About the role
3.2.
Responsibilities
3.3.
Skills and Requirements
4.
Salary and Perks
4.1.
Additional Perks
5.
Resources
6.
How to Apply at Capgemini
7.
Frequently Asked Questions
7.1.
What is the role of a data engineer?
7.2.
What can be the format of writing a resume?
7.3.
What does it take to become a good Data Engineer?
7.4.
With whom does a data engineer collaborate?
7.5.
What is the difference between Capgemini's Data Engineer compensation and the typical salary range for this position?
8.
Conclusion
Last Updated: Mar 27, 2024

Data Engineer at Capgemini

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Introduction

Everyone who wants to work as a data engineer wants to be employed by one of the top IT firms. However, many are unaware of what it takes to work for a reputable company like Capgemini in this industry.

How to become a Data Engineer at capgemini

Therefore, if you are one of those people who is also unclear about this subject, you have come to the correct spot since this article will undoubtedly assist you to dispel your confusion about this occupation and the tools needed to become a Data Engineer.

But first, a little introduction to Capgemini since this article will explain how to apply for a Data Engineer position there.

About Capgemini 

About Capgemini

Global leader in consulting, engineering, technology, and digital transformation services is Capgemini. In the rapidly changing world of cloud, digital, and platforms, the Group is at the forefront of innovation to serve the whole spectrum of customer prospects.

Key Figures

  • Capgemini is a world leader in working with businesses to transform and run their operations by leveraging technology. The Group's mission, to unlock human potential via technology for an inclusive and sustainable future, serves as its compass each day.
     
  •  More than 325,000 team members work for this trustworthy, multicultural business in more than 50 nations. 
     
  • Capgemini's clients rely on it to handle the full range of their business needs, from strategy and design to operations, thanks to its strong 55-year history and extensive industry knowledge. 
     
  • This trust is fueled by the rapidly changing and innovative world of cloud, data, AI, connectivity, software, digital engineering, and platforms. 
     
  • The Group claimed €18 billion in global revenues for 2021.
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Data Engineer

Data Engineer

About the role

Data engineers employ strategies to raise the accuracy and integrity of data. They mix unprocessed data from several sources to produce forms that are standardised and machine-readable. Additionally, they create and evaluate infrastructures that permit data translation and extraction for predictive or prescriptive modelling.

Responsibilities

  • Analyse and arrange unprocessed data
  • Create data pipelines and systems.
  • Analyse the demands and goals of the business
  • Analyse patterns and trends
  • Analyse complicated data, then present the findings.
  • Gather information for predictive and prescriptive modelling.
  • Create prototypes and algorithms
  • combine unprocessed data from many sources
  • Look into improving the accuracy and reliability of your data.
  • Identify potential data-acquisition opportunities
  • Create analytical software and tools
  • Work on a number of projects with Data Scientist and architects.

Skills and Requirements

  • Prior employment as a data engineer or in a related position
  • Knowledge of segmentation techniques, data mining, and data models
  • Programming language expertise (e.g. Java and Python)
  • Practical knowledge of SQL database design
  • Superior arithmetic and analytical abilities
  • Degree in IT, computer science, or a related discipline; a master's is preferred

Salary and Perks

Salary and Perks

A Capgemini Data Engineer typically makes ₹7,45,860 a year. At Capgemini, Data Engineer salaries can range from ₹3,04,819 to ₹26,02,117 annually. A Data Engineer at Capgemini can expect to make an average total salary of ₹7,49,635 a year after tax, tip, and other compensation.

Salary at Capgemini

Range - ₹3,04,819 to ₹26,02,117
Average- ₹7,45,860
Monthly - ₹62,460 (based on average)

( The figures presented above are subject to change by Capgemini )

Additional Perks

Insurance, Health & Wellness

Financial & Retirement

  • Performance Bonus
  • Stock Options or Equity
  • Pension Plan
  • Retirement Plan

Vacation & Time Off

Other Benefits

  • Employee Assistance Program
  • Employee Discounts
  • Gym Membership
  • Company Car
  • Free Lunch or Snacks

Maternity & Paternity Leave

Resources

Resources

Database management system: A data engineer must be knowledgeable about database management systems. If you're looking for a resource to help you with your questions or maybe just trying to learn about it from scratch. This post will assist you as was stated in the beginning.

For more information, you check out the video mentioned below.

  • Python: check out this python article linked at the start if you're looking for resources to learn about python.
     
  • Big Data: Big Data is also one of the most crucial skills that is essential for a Data Engineer. Check out the article mentioned at the start for Big Data. 
     
  • You can also check out this blog mentioned below for the characteristics of Big Data : Big Data and type of characteristics
     
  • Microsoft excel; you should be able to  work with Microsoft excel if you are aspiring to become a Data Engineer so in order to achieve this check out the link in the starting,
     
  • Aptitude: aptitude is a basic skill that should be well known if you want to clear your interview.
     
  • Interview: This article will help you to clear your doubts if you have about the interview questions
     
  • If you are having doubts whether to learn SQL or NoSQL you can prefer the blog mentioned below in order to clear your doubts: SQL or NoSQL

 

Check out the challenges and test series that will allow you to gauge your knowledge if you are sufficiently confident in your abilities and wish to put them to the test.
 

  • Test-series: these series contain various questions about various important questions that will surely help to conquer any difficulty you might encounter during the interview.
     
  • Problems: for dsa problems you can check out the link in the start.
     
  • Interview bundle: this link contains the various questions that got asked during the interview in various companies. You should check out those who know these might help you.
     
  • Contests: if you want practice in a coding contest hosted by the coding ninjas for more practice.
     
  • Guided paths for coding interview: this link contains the complete guide path of what should do before an interview.

 

Check out the courses mentioned below on Machine learning and Data Analytics for a better understanding.

You can also check out Data Analyst vs Data Scientist here.

How to Apply at Capgemini

Step 1: You can go on their official website of Capgemini

Step 2: Search for a job. 

how to apply at Capgemini

Step 3: Fill out the Application. 

Frequently Asked Questions

What is the role of a data engineer?

Data engineers are responsible for transforming unprocessed data into information that can be used for analytics and business decision-making. They deal with a variety of systems that are utilised in anything from businesses, hospitals, and schools to constructing platforms. As a result, businesses have access to the most accurate performance indicators for all of their divisions.

What can be the format of writing a resume?

It should be in Portrait Layout, less than 512 KB in size, Microsoft Word, rich text format, text or pdf file format, no password protection, and not saved as read-only.

What does it take to become a good Data Engineer?

To apply data science to a company's business requirements, a skilled data engineer needs to have great problem-solving abilities. They also need to be exceptionally technical in a variety of areas, such as software engineering and programming languages, and have good communication skills because they will interact with company leaders on a daily basis.

With whom does a data engineer collaborate?

Data scientists and data engineers collaborate to increase the information's quality and accuracy, allowing organisations to make more responsible judgments. In order to support business choices, they collaborate with leaders from across the enterprise.

What is the difference between Capgemini's Data Engineer compensation and the typical salary range for this position?

Data engineers at Capgemini typically make 7.2 lakh rupees a year, which is 3% more than the average income of a data engineer in India, which is 7 lakh rupees a year.

Conclusion

In this article, we learned what data engineer does, who they work for, and what they need to be qualified for in order to work at Capgemini. We have also covered the blogs and resources that are needed to find employment.

To learn more about the company please refer to the following articles:
 

You can also consider our online coding courses such as the Data Science Course to give your career an edge over others.

 

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