Database Engineering

Vosyn
Summary
Join Vosyn, a leading Language Synthesis AI firm, as a Master's level Database Engineering intern for a 3-month, 520-hour remote internship (with hybrid options in Toronto). Contribute to crucial data management, analysis, and reporting tasks. Gain hands-on experience designing, building, and maintaining data pipelines, collaborating with team members, optimizing workflows, and ensuring data security. This internship offers invaluable experience in a fast-paced startup environment, providing exposure to senior management and contributing to impactful projects. Vosyn is committed to fostering a diverse and inclusive workplace, offering a unique opportunity to be part of a company transitioning to an IPO. The internship pays $32/hour.
Requirements
- Currently enrolled or recently graduated from a Masterβs program in Data Science, Computer Science, Statistics, or a related field
- Masterβs program enrollment or completion is mandatory
- 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
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