Analytics Engineer

Tucows

. Design, develop, and maintain complex data models in Snowflake .

Posted 10/6/2026full-timeRemote • CanadaJuniorMid-Level💰 CA$81,990 - CA$91,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data modeling, advanced SQL, and data analytics, with a strong focus on leveraging Snowflake and dbt for building efficient data pipelines. Proficient in Python for data analysis and familiar with AI and machine learning applications to drive data-driven insights.

Highest-signal resume keywords

Data ModelingAdvanced SQLSnowflakeDbtPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAdvanced SQLPythonLookerDbtMachine LearningAIShell ScriptingETL ProcessesData Governance

Soft Skills

CommunicationCritical ThinkingProblem-SolvingCollaborationPresentation

Tools & Technologies

SnowflakeLookerDbtApache AirflowAWSGCPGitCI/CDDocker

Industry Keywords

Data AnalyticsData Privacy RegulationsGDPRCCPAData EthicsBias Mitigation

Tech Stack

Tools & technologies

AirflowApacheAWSCloudDockerETLGoogle Cloud PlatformNumpyPandasPythonShell ScriptingSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Statistics, or a related field
2+ years of experience in data analytics or a related field
Significant exposure to AI and Machine Learning applications in analytics
Advanced SQL skills with complex queries on large-scale datasets
Hands-on experience with dbt for building, testing, and documenting data models
Expert-level knowledge of data modeling and data warehouse concepts
Experience with Snowflake and familiarity with advanced Snowflake AI capabilities
Strong skills in Looker and LookML or similar BI tools
Proficiency in Python, including pandas and NumPy
Experience with shell scripting and command-line tools
Familiarity with ETL processes, Apache Airflow or similar orchestration tools, and Docker
Experience with AWS or GCP cloud platforms
Solid understanding of Git and CI/CD processes
Familiarity with agile development methodologies
Excellent communication, presentation, critical thinking, and problem-solving skills
Experience working on cross-functional teams and translating business needs into technical solutions
Experience implementing data governance best practices and ensuring data quality and consistency
Knowledge of data ethics, bias mitigation, and data privacy regulations such as GDPR and CCPA

Benefits

Comp & perks

Flexible, remote-first work arrangement
Fair compensation and generous benefits
Reasonable accommodation for individuals with disabilities
Diversity, inclusion, and equality commitment
AI-enabled recruitment tools with human-made final hiring decisions