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Détails du poste
- Lieu de travail : Montreal (Hybride)
- Type de poste : Permanent à temps plein
Description du poste
Summary
- Location: Montreal (Day onboarding onsite / in office presence x week)
- Experience Level: Level (advanced): - years
Responsibilities
- Hands-on development and data pipeline creation.
- Collaborate with stakeholders across the organization.
- Contribute to the evolution of the current strategy.
- Provide specialist data analysis and expertise for decision-making and business insights.
- Craft data pipelines and implement data models.
- Optimize data processes for improved accuracy and accessibility.
- Apply machine learning and AI-based techniques.
Requirements
- Experience in data engineering or a related field.
- Design and implement data pipelines and workflows.
- Develop dashboards and reports using Power BI and Tableau.
- Collaborate with stakeholders to translate requirements into data models and visualizations.
- Utilize Dataiku and other analytics platforms for data preparation and advanced analytics.
- Ensure data quality, integrity, and security.
- Optimize performance of dashboards and queries for large datasets.
- Stay updated on emerging trends in data analytics and visualization technologies.
- Experience with Snowflake and Databricks (at least one).
- Knowledge of database systems (SQL and NoSQL).
- Experience with Snowflake Cortex is appreciated.
- Familiarity with cloud platforms (AWS, Azure) and their data services.
- Experience using Jupyter notebooks for data exploration, analysis, and visualization.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a geographically distributed team.
Required Skills
- Integrity and ownership, good team player.
- Ability to work under time and resource dependencies and constraints.
- Ability to find simple and effective solutions.
- High degree of motivation to expand technical and business knowledge.
Preferred Skills
- Familiarity with programming skills in Python.
- Experience with data warehousing concepts and technologies.
- Familiarity with data governance and security best practices.
- Experience with Agile methodologies.
- Familiarity with data catalog and metadata management tools.
- Familiarity with CI/CD pipelines and DevOps practices.
Benefits
- Opportunity to work in a diverse and innovative environment.
- Engagement with cutting-edge data and analytics technologies.
- Collaborative and supportive team culture.
