Experience Level: Level 4 (advanced): 7-15 years

Location: Montreal (Day 1 onboarding onsite / in office presence 3x week)

What you'll bring to the role:

Experience being a practitioner in data engineering or a related field.
Design and implement data pipelines and workflows to support analytics and reporting needs.
Develop interactive dashboards and reports using visualization tools like Power BI and Tableau.
Collaborate with business stakeholders to understand requirements and translate them into data models and visualizations.
Utilize Dataiku and other analytics platforms for data preparation, machine learning workflows, and advanced analytics.
Ensure data quality, integrity, and security across all analytics solutions.
Optimize performance of dashboards and queries for large datasets.
Stay updated on emerging trends in data analytics and visualization technologies.
Experience working on Snowflake and Databricks (Min one of the two)
Knowledge of database systems (SQL and NoSQL)
Experience on Snowflake Cortex will be really 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.

Good to have Skills:

Familiarity with programming skills in Python
Experience with data warehousing concepts and technologies.
Familiarity with data governance and security best practices (e.G., data access control, data masking).
Experience with Agile methodologies.
Familiarity with data catalog and metadata management tools (e.G., Collibra).
Familiarity with CI/CD pipelines and DevOps practices.

Personal skills:

EEO Employer

Minorities/ Females/ Disabled/ Veterans/ Gender Identity/ Sexual Orientation

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Data and Analytics Engineer

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