Data Engineer
Grand & Toy Ltd.
Vaughan, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
- Publié le 13 août 2025
-
Date d'entrée en fonction : 1 poste à combler dès que possible
Description
What You’ll Do
As a Data Engineer, you will play an integral part of our data engineering team, responsible for supporting the development, maintenance, and optimization of our data infrastructure.
This role offers a unique opportunity to grow your technical skills and gain hands-on experience with modern data engineering tools and methodologies in a collaborative and dynamic environment.
- Assist in designing, building, and maintaining scalable data pipelines to process, clean, and integrate data from various sources.
- Implement data transformation and processing tasks using ETL tools and scripting languages.
- Support the maintenance and optimization of our data warehouse and data lakes.
- Monitor data pipeline performance and troubleshoot issues to ensure data integrity and availability.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
- Provide support and troubleshooting assistance to end-users and team members.
About the Role
This is an independent contractor position, and you will not be on Grand & Toy’s payroll. This is a perfect opportunity for someone who is looking for full-time working hours as an independent contractor.
Location
Our head office is located in Vaughan, Ontario.
Education Requirements: Post-secondary education in Computer Science or Mathematics preferred.
Work Experience:
- Strong knowledge of ETL processes and orchestration tools (Dagster, Apache AirFlow, Prefect)
- Development experience with SQL and Python
- Experience with Git
- Experience with DBT is preferred
- Strong knowledge and experience with relational database design and development
- Possesses strong analytical and troubleshooting skills with attention to detail and accuracy
Technology:
- Strong knowledge of SQL, Python and Git
- Experience with cloud-based applications and environments.
- Familiar with Data Warehousing concepts and design approaches.
Information Systems:
- Microsoft SQL Server and Snowflake
- BI Technologies such as Analysis Services, Reporting Services or similar
- Microsoft Office 365 BI Tools and integrations
Exigences
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