Data Engineer | 0 to 2 years | Bengaluru
Job Description
Company Overview: At Capgemini Engineering, the global leader in engineering services, we collaborate with a talented team of engineers, scientists, and architects to support the world’s most innovative companies in unlocking their potential. From autonomous vehicles to life-saving robots, our digital and software technology experts push the boundaries, providing unique R&D and engineering solutions across all industries. Join us for a dynamic career where no two days are the same and where you can make a real difference.
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Job Description:
As a Data Engineer, you will:
- Utilize expert-level Python knowledge to develop and maintain data pipelines.
- Apply advanced skills in machine learning libraries and frameworks such as TensorFlow, Keras, and scikit-learn.
- Implement and optimize clustering algorithms (e.g., K-means, hierarchical clustering) for data grouping tasks.
- Utilize classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition.
- Work on Natural Language Processing (NLP) and recommendation systems to enhance data-driven applications.
- Handle database design and management, both relational (e.g., MySQL) and non-relational, ensuring efficient data retrieval and schema optimization.
- Demonstrate strong knowledge in Object-Oriented Analysis and Design (OOAD), multi-threading, multi-process handling, and memory management.
- Evaluate machine learning models using appropriate evaluation metrics and techniques.
- Deploy machine learning models into production environments, ensuring their integration with business processes.
- Collaborate in an Agile Scrum team, utilizing version control systems (e.g., Git) for efficient and collaborative development.
Primary Skills:
- Expertise in Python coding.
- Proficiency in data modeling, with hands-on experience in popular machine learning libraries and frameworks.
- Strong communication skills, enabling effective collaboration within teams and across departments.
