Database Engineer

Summary

Join Vosyn, a leading Language Synthesis AI firm, as a Master's Level Data Engineering Intern! This 3-month, remote (with hybrid options in Toronto) internship offers hands-on experience in data management, analysis, and reporting. You will design and maintain data pipelines, collaborate with team members, optimize workflows, and work with large datasets. The ideal candidate is currently enrolled in a Master's program in a related field and possesses strong data concepts, analytical skills, and proficiency in relevant tools (e.g., SQL, Python). Vosyn offers a unique opportunity to contribute to impactful projects, engage with senior management, and enhance your CV within a fast-paced startup environment.

Requirements

• Currently enrolled in a Master’s program in Data Science, Computer Science, Statistics, or a related field
• Strong understanding of data concepts and analytical methods
• Proficiency in relevant tools and technologies (e.g., SQL, Python, data visualization tools)
• Strong analytical and problem-solving skills
• Excellent attention to detail and ability to work independently and collaboratively
• Effective communication skills, both written and verbal

Responsibilities

• Design, build, and maintain data pipelines for efficient data processing and storage
• Collaborate with team members to ensure data availability and quality
• Optimize data workflows and perform data integration tasks
• Work with large datasets and develop solutions for data storage and access
• Ensure data security and adherence to best practices

Preferred Qualifications

Experience with data management and analysis is a plus

Benefits

• Be part of the invigorating journey of a start-up transitioning to an IPO
• Engage directly with senior management and strategic advisory board members
• Enhance your CV with a rich array of experiences unique to Vosyn and AI Venture Lab
• Gain hands-on experience contributing to projects that drive growth and make a lasting impact in a fast-paced startup environment
• Remote work, flexible hours