Tucows

Analytics Engineer

• Design, develop, and maintain complex data models in Snowflake
• Build efficient data pipelines and transformations using dbt
• Implement conversational data queries and AI-driven insights using Snowflake Intelligence features such as Cortex Analyst, Cortex Agents, Cortex Search, and AISQL
• Develop advanced SQL queries and analyze large datasets to identify patterns, trends, and opportunities
• Develop, maintain, and optimize Looker dashboards and LookML
• Enable stakeholders to interact with data through natural-language queries
• Collaborate with product, engineering, business, and other stakeholders to deliver data-driven solutions
• Identify opportunities to implement AI, machine learning, and NLP technologies
• Write Python code for data analysis, processing, and automation
• Use shell scripting and command-line tools to support data workflows
• Integrate tested code into automated workflows such as Airflow job scheduling
• Create visualizations and presentations for senior management and cross-functional teams
• Stay current with data engineering, analytics, dbt, Snowflake, and BI innovations
• Improve the organization’s analytics stack, data practices, and data culture

Explore Analytics Engineer at Tucows. Review requirements and application details.