Data Engineer

Senior Data Engineer | Corporate Workspace Technology

Location:
Montreal, QC (Hybrid: 3 days/week in-office; Onsite onboarding required)
Experience Level:
Level 4 (Advanced): 7–10 Years
Job Type:
Fixed-Term Contract (FTC)

The Opportunity

We are seeking a highly skilled
Senior Data Engineer
to join our Corporate Workspace Technology team. In this role, you will lead the modernization of our tooling enablement function, focusing on the design, modeling, and management of data warehouse objects within
Snowflake
.

The ideal candidate is a self-driven, strategic thinker who excels at building robust data pipelines using Talend, Informatica, and APIs while collaborating effectively in a team-centric environment.

Key Responsibilities

- Architect & Implement:
Design and manage scalable data solutions within the Snowflake ecosystem to optimize storage and processing performance.
- Cloud Migration:
Lead the migration of existing data domains and flows from traditional relational data stores to Snowflake.
- Pipeline Development:
Build and maintain end-to-end data ingestion pipelines using
Talend
and
Informatica
, adhering to industry best practices.
- Automation & Scripting:
Write high-performance SQL and Python scripts for large-scale dataset analysis and scheduled process automation.
- Data Strategy:
Identify and implement data integrity practices, governance frameworks, and integration tools within the Snowflake ecosystem.
- API Integration:
Design and develop the data distribution layer utilizing
Snowflake REST APIs
.
- Optimization:
Continuously monitor and tune Snowflake environments to enhance performance and reduce operational costs.
- Collaboration:
Work closely with data scientists to integrate machine learning models and partner with IT and Business groups to align technical solutions with corporate goals.

Skills & Qualifications

Technical Expertise

- Data Warehousing:
7–10 years of deep experience in data analysis, modeling, and object development specifically within
Snowflake
.
- ETL/ELT Tools:
Proven proficiency with
Informatica
and
Talend
.
- Languages:
Expert-level
SQL
query development and
Python
scripting.
- Database Systems:
Strong background in relational databases (e.g.,
DB2
) and complex data transformations.
- Connectivity:
Practical experience working with
Snowflake REST APIs
.
- Modeling:
Advanced understanding of schema design for both relational and cloud-based data stores.

Education & Soft Skills

- Education:
Bachelor’s degree in Computer Science, Software Engineering, or a related field (Master’s degree preferred).
- Communication:
Exceptional verbal and written communication skills; ability to bridge the gap between technical teams and business stakeholders.
- Mindset:
A problem-solver with a team-oriented approach and the ability to work effectively in distributed systems.

Preferred Assets

- Visualization:
Familiarity with
Tableau
or
Power BI
.
- Semantic Layer:
Experience developing Semantic Models in Snowflake or Power BI.
- AI/ML:
Experience collaborating with data scientists to deploy machine learning models.