Data And Analytics Engineer

Job Title

Experience Level: Level 3 (senior): 5-7 years

Open positions: 1

Location: Montreal

Work Mode: Day 1 onboarding onsite / in office presence 3x week

Responsibilities

Hands-on development, data pipeline creation, and collaboration with stakeholders across the organization.

Drive decision-making and business insights through specialist data analysis and expertise.

Craft data pipelines, implement data models, and optimize data processes for improved data 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 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 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.

Preferred 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.

Benefits

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.