Top Tech Jobs & Startup Jobs in Toronto

The Data Analyst will analyze datasets, create visualizations, generate reports, and collaborate with teams to provide actionable insights using Power BI and SQL.

The Data Engineer is responsible for designing and optimizing data pipelines, ensuring data integration, and collaborating with teams on AI-driven applications.

The Databricks Engineer designs, develops, and optimizes data solutions using Databricks, focusing on big data pipelines, ETL workflows, and collaboration with teams to enhance data-driven insights.

As a Senior .NET Full Stack Developer, you will build robust, cross-platform applications using .NET technologies, focusing on Azure cloud solutions and maintaining database integrity.

The Data Engineer will design and maintain ETL pipelines, work with Snowflake for data warehousing, ensure data quality, and collaborate on analytics initiatives.

Design and implement scalable data architectures, establish data governance, oversee ETL processes and collaborate with teams to enhance data infrastructure.

The ML Developer will develop and optimize machine learning models, integrate AI features into applications, and collaborate with teams for best practices in AI solutions.

The Technical Pre-Sales Consultant will engage with clients to understand their needs, recommend AI and data solutions, develop proposals, and deliver technical presentations, ensuring alignment of solutions with client requirements.

The Senior Pre-Sales Solutions Architect bridges the technical and business domains, developing tailored proposals, conducting needs assessments, and designing enterprise solutions.

Design, develop, and deploy scalable machine learning solutions, integrate ML with data warehouses, and optimize model performance in production environments.