Data Engineer Intern
Bien Hoa, VN, 810000
Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
Your Key Responsibilities
• Work with digitalization team in building end-to-end platforms and solutions for manufacturing environment, and visualization of data driven solutions.
• Work on designing and implementing simple ETL processes using Python.
• Gain exposure to Microsoft Azure tools like Azure Functions and Azure Data Factory to automate data workflows.
• Assist in shaping data models to support AI usecase.
Your Qualifications
• 3rd or 4th year in Computer science or related area
• Understanding of Python + SQL for data tasks.
• Strong knowledge of SQL, preferably PostgreSQL
• Open to learning about cloud platforms, including Azure
• General understanding of data modeling, data quality, GenAI concepts
• Good English communication and interpersonal skills
• Strong passion for learning and adapting to new technologies
As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
Your Contact
Schaeffler Vietnam Co., Ltd.
Cao Quan Hoang
For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
Keywords: Graduates; Others; Full-Time; Limited; Administration, Services & Support;
Job Segment:
Data Modeler, Computer Science, Entry Level Engineer, SQL, Database, Data, Technology, Engineering