Data Engineer

Compunnel Inc.; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading data solutions provider in Toronto is seeking an experienced Data Engineer to develop and maintain scalable data solutions primarily using Snowflake and SQL. The ideal candidate has over seven years of hands-on experience, with expertise in building efficient data pipelines and supporting cloud-based environments. This position demands strong analytical abilities and the capacity to work independently, optimizing data models and collaborating with cross-functional teams. Excellent problem-solving skills and communication are essential.

Qualifications

• 7+ years of hands-on experience as a Data Engineer.
• Strong expertise with Snowflake including data modeling, pipelines, and performance tuning.
• Advanced proficiency in SQL with the ability to write complex, optimized queries.

Responsibilities

• Develop, optimize, and maintain data pipelines using Snowflake as the primary data platform.
• Write complex SQL queries, stored procedures, and transformations for large-scale datasets.
• Utilize basic AWS services to support cloud-based data operations.

Skills

Data Engineering

SQL

Snowflake

AWS

Python

Job description

The Data Engineer will be responsible for developing and maintaining scalable data solutions, with a primary focus on Snowflake and SQL.

This role requires strong analytical abilities, hands‑on data engineering expertise, and the capability to work independently.

The ideal candidate will bring extensive experience in building efficient data pipelines, optimizing data models, and supporting cloud‑based data environments.

Key Responsibilities

• Develop, optimize, and maintain data pipelines using Snowflake as the primary data platform.
• Write complex SQL queries, stored procedures, and transformations for large‑scale datasets.
• Support data ingestion, modeling, and processing activities across multiple data sources.
• Utilize basic AWS services to support cloud‑based data operations.
• Use Python for scripting, automation, and basic data transformation tasks.
• Work independently to analyze problems, design solutions, and implement data engineering best practices.
• Collaborate with cross‑functional teams to support analytical and reporting needs.

Required Qualifications

• 7+ years of hands‑on experience as a Data Engineer.
• Strong expertise with Snowflake including data modeling, pipelines, and performance tuning.
• Advanced proficiency in SQL with the ability to write complex, optimized queries.
• Basic working knowledge of AWS cloud services.
• Basic experience with Python for scripting and data processing.
• Ability to work independently with minimal guidance.
• Strong problem‑solving abilities and attention to detail.
• Excellent communication and collaboration skills.