pelmorex
Senior Data Engineer, Hybrid
At a Glance
- Location
- Oakville, Canada
- Work Regime
- hybrid
- Employment
- Full-Time
- Experience
- 5+ years
- Department
- B2B
- Posted
- 2026-06-16T19:09:36.055000+00:00
Key Requirements
Required Skills
Domain Knowledge
- Education
- Engineering
Requirements
5+ years of professional experience in Data Engineering with demonstrated ownership of production data systems at scale.
Deep understanding of ETL/ELT patterns, data modeling, partitioning strategies, idempotent pipeline design, and cost-aware storage design and compute optimization.
Proven ability to deploy and manage production data workloads in the cloud (GCP preferred).
Advanced proficiency in Python and SQL.
Experience writing clean, modular, and maintainable code optimized for heavy data processing.
Strong commitment to automated pipeline testing, continuous integration, comprehensive documentation, and proactive system observability.
Responsibilities
Architect for Scale:
You'll define the blueprints for high-scale data systems where quality and latency are the primary constraints.
You will engineer robust ETL/ELT pipelines leveraging modern distributed compute frameworks such as Apache Beam and Snowpark.
Orchestrate Complex Workflows:
will design, monitor, and optimize sophisticated workflows using tools like Apache Airflow, Google Workflows and Snowflake Tasks.
Optimize Global-Scale Storage: