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Data Engineer: Build Scalable ETL Pipelines & Cloud
Job summary
A data solutions provider in Toronto is seeking a skilled Data Engineer who excels in Python and ETL development to help build scalable data pipelines. The ideal candidate should have expertise in cloud data platforms like Snowflake or Azure. This role involves developing and maintaining robust data workflows, ensuring data integrity, and collaborating with various stakeholders. Strong SQL abilities and experience with version control are also vital. Join a supportive and innovative team focused on solving complex data challenges.
Qualifications
- 4+ years of hands-on experience in data engineering.
- Strong SQL skills with structured and semi-structured data.
- Understanding of data quality practices.
Responsibilities
- Develop, deploy, and maintain data pipelines using Python.
- Collaborate with data architects to define integration requirements.
- Ensure data integrity by implementing quality checks.
Skills
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.