View this new "Data and Analytics Engineer" opening in Montréal, Canada. Apply for jobs in your niche area, and explore related local it/tech / jobs in Montreal Montréal and nearby county areas of Province de Québec Canada.
IT/Tech Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
Location: Montreal
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 No
SQL).
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 Dev Ops practices.
Benefits:
Opportunity to work in a diverse and innovative environment.
Engagement with cutting-edge data and analytics technologies.
Collaborative and supportive team culture.
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
