Capgemini is Hiring 2021-2024 Batch Pass outs Students
About Company
Capgemini was founded by Serge Kampf in 1967as an enterprise management and data processing company. The company was founded as the Société pour la Gestion de l’Entreprise et le Traitement de l’Information (Sogeti).
In 1974, Sogeti acquired Gemini Computer Systems, an American company based in New York. In 1975, having made two major acquisitions of CAP (Centre d’Analyse et de Programmation) and Gemini Computer Systems, and following the resolution of a dispute with the similarly named CAP UK over the international use of the name ‘CAP’, Sogeti renamed itself as CAP Gemini Sogeti.
Cap Gemini Sogeti launched US operations in 1981, following the acquisition of Milwaukee-based DASD Corporation, specializing in data conversion and employing 500 people in 20 branches throughout the US. Following this acquisition, The U.S. Operation was known as Cap Gemini DASD.
In 1990 Cap Gemini Sogeti acquired the UK company Hoskyns Group, the European leader in IT outsourcing and managed services.
In 1996, the name was simplified to Cap Gemini, and the firm launched a new group logo. All operating companies worldwide were re-branded to operate as Cap Gemini.
Ernst & Young Consulting was acquired by Cap Gemini in 2000. It simultaneously integrated Gemini Consulting to form Cap Gemini Ernst & Young.In 2017, Cap Gemini S.A. became Capgemini SE, and its Euronext ticker name similarly changed from CAP GEMINI to CAPGEMINI.
Capgemini Data Engineer Recruitment Details
| Company | Capgemini |
|---|---|
Post |
Data Engineer |
Degree |
BE/BTech/ME/MTech/M.Sc/MCA |
Branch |
CS/IT/DS |
Batch |
2021/2022/2023/2024
Batch |
CTC |
Rs 5 LPA (Expected) |
Location |
Bengaluru |
Job Description
JOB Description:
- Expert knowledge in Python
- Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.
- Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.
- Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition
- Natural language Processing and recommendation systems.
- Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas
- And optimizing queries for Efficient data retrieval.
- Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.
- Good knowledge model evaluation metrics and techniques.
- Experience in deploying machine learning models to production environments.
- Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development.
Who Can Apply
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Placement Materials
TCS Study Material :- Coming Soon
Wipro Study Material :- Coming Soon
Infosys Study Material :- Coming Soon
Accenture Study Material :- Coming Soon
Apptitude Study Material :- Coming Soon
Selection Process
Round 1
In first round there will Aptitude Round where question related to check capabilities of the candidate through variety of questions like
- Verbal reasoning questions. …
- Verbal comprehension questions. …
- English language questions. …
- Questions testing abstract reasoning.
Round 2
The second round is generally a Technical Round in which all the technical related question were asked to candidate according to job role. In this generally the interviewer checks candidate technical ability the depth and breadth of candidaate knowledge
Round 3
Round 3 is a HR round in some cases TR and HR round are occur concurrently. This round is conducted by Human Resource Professional who ensures that you are the right candidate for the role
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