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Data Engineer

Vaughan, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Date d'entrée en fonction : 1 poste à combler dès que possible

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

 


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