Data Engineering Training & Internship at Refonte Learning
About the job
Refonte Infini is a global leader in IT and EdTech, renowned for delivering exceptional services across various domains. Our expertise encompasses Artificial Intelligence (AI), digital marketing, data science, data analytics, UI/UX design, web development, and app development. We are committed to driving innovation, upholding excellence, and empowering talent around the world.
For more information :
- Visit our website: https://refontelearning.com/
Or
- Contact us at: karen@refontelearning.com
Job Title: Data Engineer, Senior Data Engineer, Lead Data Engineer, Data Engineering Manager, Data Architect, Big Data Engineer, Cloud Data Engineer, ETL Developer, Data Engineer Consultant, Data Operations Engineer, Data Analyst, Data Science Specialist, Machine Learning Engineer, Business Intelligence Developer, Data Integration Specialist, Data Warehousing Specialist, Data Governance Manager, Data Platform Engineer, Data Visualization Specialist, Data Quality Analyst
Job Summary:
Refonte Infini is on the lookout for motivated individuals eager to grow their expertise in Data Engineering while working on impactful projects across the globe. We offer not only a flexible work environment but also the opportunity to collaborate with a diverse, international team spanning Oceania, Asia, Europe, and the Americas. Join us to gain hands-on experience and advance your career in a dynamic, global setting.
Projects You Will Work On:
- Prompt Engineering
- Generative 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
- Real-Time Data Processing
- Cloud Data Solutions (e.g., AWS, Google Cloud)
- Machine Learning Integration
- Advanced Analytics and Predictive Modeling
- Data Governance and Security
- Data Integration and API Development
Roles & Responsibilities:
- Collaborate with AI Experts: Work closely with our AI team to implement Prompt Engineering techniques for training and refining models.
- Develop Generative AI Models: Assist in the creation and optimization of Generative AI models to address complex data challenges.
- Contribute to AI Foundations: Support the development and enhancement of foundational AI models to drive innovation.
- Team Collaboration: Partner with experienced data engineering professionals and global team members to share knowledge and best practices.
- Design Data Warehousing Solutions: Engage in the design and implementation of robust data warehousing solutions to support efficient data management.
- Develop ETL Processes: Create and maintain ETL (Extract, Transform, Load) processes to ensure smooth and reliable data flow across systems.
- Optimize Data Models: Contribute to the development of data models that enhance database performance and structure.
- Build Data Pipelines: Assist in designing and maintaining data pipelines for both real-time and batch data processing.
- Ensure Data Quality: Perform rigorous quality assurance checks to guarantee data accuracy, consistency, and integrity.
- Utilize Big Data Technologies: Explore and leverage big data technologies such as Hadoop and Spark for scalable and efficient data processing.
- Create Data Visualizations: Develop visually compelling data visualizations to effectively communicate insights and support data-driven decision-making.
- Implement Cloud Data Solutions: Work on cloud-based data solutions and architectures to enhance data accessibility and scalability.
- Support Data Governance: Assist in establishing and maintaining data governance policies and practices to ensure compliance and security.
Qualifications:
- Education: Pursuing a degree in Computer Science, Engineering, Data Science, or a related field.
- Programming: Proficient in Python, Java, or SQL.
- Database Management: Experience with MySQL, PostgreSQL, or similar.
- Skills: Strong analytical and problem-solving abilities; detail-oriented.
- Communication: Excellent written and verbal skills.
- Teamwork: Able to work independently and collaboratively.
Note: Please be aware that this position is unpaid. Upon submitting your application, our team will reach out to provide further details regarding the application process and next steps for joining.
Location:
Remote: Europe, Middle East and Africa
For more information :
- Visit our website: https://refontelearning.com/
Or
- Contact us at: karen@refontelearning.com
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