"Employers often ask why you'd be a good fit to work for them. We prefer to begin by showing why we'd be a good fit for you."

 

Reasons why you would want to work at Vivid Theory:

  • A fresh start with a young energetic team

  • Vibrant work environment

  • Develop in the most modern web technologies (React, Nodejs, and front/backend Typescript)

  • Creative freedom to make a direct and immediate impact on our code base

  • Successfully launched and validated product.

  • See your work life being used by hundreds of thousands of customers and consumers.

  • Expedited advancement opportunities and ownership potential.

 

You'll be solving big challenges and working with low-latency, large-scale systems in a small, fast-paced, collaborative family-feel environment! In this role, you will help shape the technical direction, and you'll be building tools for a diverse set of problems from server capacity planning and management, service monitoring tooling infrastructure, system inventory, and server provisioning. This is an excellent opportunity for someone looking to move into a leadership role, influencing change and providing solutions across several engineering challenges.

 

Are you:

  • Someone who takes ownership and pride in their work makes and delivers on commitments and isn't satisfied with anything less than excellence.

  • Has the desire to help define the architecture and strategic roadmap for a product used by hundreds of users, balancing business objectives, end-user needs, and technical feasibility

  • An exceptional communicator who will be effective on a team

Responsibilities:

  • Design, implement, and maintain databases by integrating in-house tools and external sources.

  • Work with the development team to create a scalable data architecture.

  • Collaborate with development and executive teams to gather and understand data requirements and ensure data accuracy.

  • Improve data reliability, efficiency, quality, and data governance processes through innovative strategies.

  • Build and test big data ecosystems for scalability.

  • Automate repetitive tasks and processes to reduce manual intervention.

  • Execute data migrations across databases and servers with accuracy and efficiency.

  • Upgrade and replace outdated systems to enhance database performance.

  • Validate and test data transformations and verifications used in machine learning models to maintain accuracy.

  • Conduct regular database maintenance and monitor its performance.

  • Implement disaster recovery techniques to ensure business continuity.

Qualifications:

  • Bachelor's or Master's degree in Computer Science or a related area of study.

  • Strong knowledge of Object-Relational Mapping (ORM) and its interaction with databases (experience with Sequelize is a plus).

  • Proficient in SQL, with experience in PostgreSQL being an advantage.

  • Familiarity with database level programming languages, such as PL/pgSQL.

  • Experience working with relational databases and their performance measurement and testing.

  • Knowledge of Microsoft Azure and its related services.

  • Experience with ETL (Extract, Transform, Load) processes.

  • Proficiency in using GitHub for version control.

  • Knowledge of JavaScript, with experience in TypeScript being a plus.

  • Familiarity with Code First Database Migrations and Seeding.

  • A bachelor's degree in Computer Science, IT, or a related field.

  • Previous experience as a Data Engineer or in a similar role.

  • Strong technical skills including experience in data modeling, data mining, and segmentation techniques.

  • Hands-on experience with database design and problem-solving.

  • Strong attention to detail, critical thinking.

 

Generally speaking, we're looking for someone who is experienced but still early in their career (roughly 2-6 years of experience) and feels ready to take on a large amount of responsibility and growth.

 

If this opportunity sounds like it’s right for you, please apply directly at theviv.co/jobapplication.

 

This position is requesting to be funded by the Government of Canada under the Innovation, Science, Digital Skills, and Economic Development of Canada.

 

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