Refonte Learning is a globally recognized leader in IT services, specializing in fields such as Artificial Intelligence (AI), digital marketing, data science, data analytics, UI/UX design, web development, and app development. We are dedicated to providing top-tier solutions while also focusing on empowering global talent with the skills necessary for success in an ever-evolving digital landscape. Join us at Refonte Learning and be a part of a diverse team working on innovative projects around the world.
Learn more about us on our website: https://refontelearning.com/
Job Overview
We are excited to offer a Data Engineering Internship that combines hands-on experience with live, global projects. As a Data Engineering intern, you will collaborate with a world-class team, gaining practical experience in data engineering, AI, and big data technologies. This is an excellent opportunity for individuals eager to learn, grow, and develop in the ever-changing world of data engineering.
You will have the chance to contribute to major data engineering projects, including data pipeline development, prompt engineering, AI model training, and much more. Whether you’re just starting in the field or have some experience, we welcome your passion to develop the necessary skills for a career in data engineering.
Projects You Will Work On:
- Prompt Engineering
- Generative AI (Gen AI)
- Data Warehousing
- ETL (Extract, Transform, Load) Processes
- Data Modelling and Database Management
- Data Pipeline Development
- Data Quality Assurance
- Big Data Technologies (e.g., Hadoop, Spark)
- Data Visualization
Roles & Responsibilities:
As a Data Engineering Intern, your responsibilities will include:
- Collaborating with the AI team to train models through Prompt Engineering.
- Assisting in the development and enhancement of Generative AI models.
- Participating in designing and implementing data warehousing solutions and database management strategies.
- Developing and maintaining ETL processes for smooth and efficient data transfer across various platforms.
- Contributing to data modelling and optimizing database architectures for scalability and performance.
- Building and maintaining data pipelines for real-time and batch processing.
- Conducting quality assurance checks to ensure data integrity, consistency, and accuracy.
- Exploring and utilizing big data technologies like Hadoop and Spark for more scalable data handling.
- Assisting in creating data visualizations to represent complex insights and trends effectively.
- Working closely with a team of experienced data engineers and collaborating on projects across international teams (APJ, Oceania, Europe, and America).
Qualifications & Skills Required:
- Educational Qualification: Currently pursuing a degree in Computer Science, Engineering, or related fields, with a strong drive for continuous learning and professional growth.
- Programming Skills: Familiarity with programming languages such as Python, Java, or SQL.
- Database Knowledge: Understanding of MySQL, PostgreSQL, or other database management systems.
- Analytical Abilities: Strong problem-solving and analytical thinking skills with a keen eye for detail.
- Communication Skills: Excellent written and verbal communication skills for collaborating with global teams and presenting complex technical ideas in a simple, understandable manner.
- Teamwork: Ability to work independently as well as in a team, with strong teamwork capabilities and adaptability.
Benefits:
- Flexible Work Environment: Work from anywhere, collaborating with a global team.
- Real-World Experience: Gain exposure to live projects, collaborating on cutting-edge technologies in AI, big data, and data engineering.
- Skill Development: Learn advanced tools and techniques in data engineering, AI, ETL, and data visualization.
- Networking Opportunities: Connect and collaborate with professionals from around the world.
- Career Opportunities: Potential for career growth and development within Refonte after internship completion.
Important Note:
This position is unpaid. After applying, our team will contact you with further details regarding the application process and joining instructions.
How to Apply:
If you are interested in gaining hands-on experience with live international projects and wish to pursue a career in data engineering, please apply by submitting your CV
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