Data Engineering Training & Internship

 

Description:

Refonte Infini is a leading IT corporation globally recognized for its expertise in providing top-notch IT and Ed-tech services. Specializing in Artificial intelligence (AI), digital marketing, data science, data analytics, UI-UX design, web development, and app development, we are dedicated to innovation, excellence, and empowering talents worldwide.

Roles & Responsibilities:

 

- Collaborate with our AI team to train our models with Prompt Engineering

- Assist to develop Gen AI models

- Contribute in the development of AI Foundations Models

- Collaborate with experienced data engineering professionals and global team members.

- Participate in designing and implementing data warehousing solutions.

- Develop and maintain ETL processes to ensure efficient data flow.

- Contribute to data modelling efforts for optimized database structures.

- Assist in building and maintaining data pipelines for real-time and batch processing.

- Conduct quality assurance checks to ensure data accuracy and consistency.

- Explore and utilize big data technologies for scalable data processing.

- Create visually appealing data visualizations to communicate insights effectively.

 

Qualifications:

 

- Currently pursuing a degree in Computer Science, Engineering, or related fields, demonstrating a strong commitment to continuous learning and professional growth.

- Proficient in programming languages such as Python, Java, or SQL.

- Familiarity with database management systems (e.g., MySQL, PostgreSQL).

- Strong analytical and problem-solving skills, with attention to detail.

- Excellent written and verbal communication skills, essential for effective collaboration and conveying complex concepts.

- Ability to work independently and as part of a team, showcasing adaptability and strong teamwork capabilities.

 

Organization Refonte Learning
Industry IT / Telecom / Software Jobs
Occupational Category Internship
Job Location New York,USA
Shift Type Morning
Job Type Internship
Gender No Preference
Career Level Entry Level
Experience Fresh
Posted at 2024-09-07 4:16 pm
Expires on 2025-01-24