Détails du poste
- Lieu de travail : Montreal
- Type de poste : Permanent à temps plein
Job Title: Data and Analytics Engineer
Experience Level: Level 3 (senior): 5-7 years
Job Level: FTC
Location: Montreal (Day 1 onboarding onsite / in office presence 3x week)
What you'll bring to the role:
*//EEO Employer: Minorities/ Females/ Disabled/ Veterans/ Gender Identity/ Sexual Orientation//*
Experience Level: Level 3 (senior): 5-7 years
Job Level: FTC
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.
- 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.
*//EEO Employer: Minorities/ Females/ Disabled/ Veterans/ Gender Identity/ Sexual Orientation//*
