Capgemini is a globally recognized consulting, technology services, and digital transformation organization. This multinational company has operations in more than 50 countries, working alongside businesses to promote innovation and deliver digital transformation. It is especially credited for delivering complex IT solutions of strategic importance, across the entire IT life cycle. Recognizing the latest technologies such as artificial intelligence, cloud solutions and data analysis, enables Capgemini to offer relevant solutions for the growing needs of companies of different fields. Capgemini is hiring for its Bengaluru office. Interested candiates may apply directly through the Apply Link.
Data Engineer Hiring Details
| Position Name | Data Engineer |
| Experience | 1 to 4 years of experience as a Data Engineer |
| Qualification | Strong background in data engineering, machine learning, and Python programming Experience with database management and model deployment |
| Salary | Not Disclosed |
| Official Website | Capgemini |
| Notice Period | Immediate Joiner |
| Working Days | 5 days of working |
About Job Profile
Capgemini is looking for a skilled Data Engineer to join our dynamic team in Bengaluru. In this role, you will be expected to utilize your proficiency in Python as well as diverse machine-learning frameworks to build and deploy sophisticated models. Your work will involve dealing with large datasets for clustering and classifying, and fine-tuning databases to get the best off them. It is a great chance for a quantitative person that is seeking to work on progressive projects and be a member of an Agile scrum team.
Responsibilities for Data Engineer
- Develop and implement machine learning models using Python and popular libraries
- Apply clustering and classification algorithms to various datasets
- Manage and optimize relational and non-relational databases
- Deploy machine learning models in real-world environments and ensure their effectiveness
- Work collaboratively within an Agile scrum team, utilizing version control systems like Git
Requirements
- Strong critical thinking – the ability to solve given problems
- Excellent (English) communication skills – the ability to describe identified issues clearly and concisely
- A methodical, scientific, and analytical mindset
- Expert-level proficiency in Python coding
- Strong knowledge of machine learning libraries and frameworks (TensorFlow, Keras, sci-kit-learn)
- Experience with clustering algorithms like K-means and hierarchical clustering
- Proficiency in classification algorithms such as decision trees, SVM, and random forests
- Familiarity with natural language processing (NLP) and recommendation systems
- Advanced understanding of database management, including both relational (MySQL) and non-relational databases
- Knowledge of Object-Oriented Analysis and Design, multi-threading, and memory management
- Strong communication skills
Skills Required
To excel in this role, candidates should possess a strong foundation in principles and a keen eye for detail. It would be best if you had strong proficiency in the following skills to grab this opportunity.
Python machine-learning libraries and frameworks SVM random forests natural language processing SQL OOPs
