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.
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Senior Snowflake Data Engineer - Pipelines, SQL & Cloud in Toronto employer: Compunnel Inc.
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