Database Engineering - Master-Level Internship at Vosyn
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

32.0

Posted On

04 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

PLEASE APPLY THROUGH OUR VOSYN CAREER PAGE

https://vosyn.breezy.hr/p/671942e8ff85-database-engineering-master-level-internship
Job Title: Database Engineering - Master-Level Internship
Level: Master’s Level Internship
Department: IT and Security
Duration: 520 Hours (approximately 3 months)
Work location: Remote (with hybrid options in Toronto)
Compensation: Hourly ($32)
About Us: At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. We are a trailblazing Language Synthesis AI firm reshaping global communication by dissolving language barriers and empowering users.We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we’re at the forefront of a significant IPO endeavor, truly a unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI.
About the Role: We are seeking motivated and skilled Master’s level interns for Database Engineering. These positions are ideal for students who are passionate about working with data to support business and technical objectives. As a Database Engineer, you will gain hands-on experience by contributing to data management, analysis, and reporting tasks that are crucial for our projects.

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.
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