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Databricks Data Engineer: Lakehouse, Delta & AWS
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Databricks Data Engineer: Lakehouse, Delta & AWS
Job summary
A global financial services provider in Toronto is seeking a Data Engineer to build and maintain data pipelines using the Databricks Lakehouse Platform. The ideal candidate will have a Bachelor's degree in Computer Science and over 4 years of data engineering experience, particularly with Python and AWS services. This role offers an opportunity to collaborate with diverse teams and contribute to innovative data solutions while enjoying several benefits supporting work-life balance.
Benefits
Qualifications
- 4+ years of experience in data engineering.
- 1+ years of hands-on experience with Databricks platform.
- Understanding of ETL/ELT principles and patterns.
Responsibilities
- Develop and maintain data pipelines using Databricks Lakehouse and Delta Lake.
- Implement ETL/ELT workflows using Spark (Python) in Databricks environment.
- Work with AWS services (S3, Glue) for data lake storage and catalog management.
- Create and optimize Spark jobs for efficient data processing and cost management.
Skills
Education
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.