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Data Engineer (hybrid)
Design and optimize data pipelines to process structured and unstructured data efficiently.
Toronto
Mid-Level
1 week ago
Homebase
Personalized rent-to-own real estate financing using technology in SEA
Job is no longer active
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✨ About The Role
- The Data Engineer will be responsible for developing and maintaining data pipelines to process large volumes of structured and unstructured data.
- The role involves building and maintaining data models using dimensional data modeling techniques.
- Creating insightful reports and dashboards to support business performance analysis is a key responsibility.
- The Data Engineer will collaborate with cross-functional teams to gather business requirements and translate them into technical solutions.
- Troubleshooting and resolving data issues in a timely manner is an important aspect of the job.
âš¡ Requirements
- The ideal candidate will have at least 4 years of experience in data engineering, demonstrating a strong background in SQL and Python.
- Experience with tools such as Databricks, Airflow, and DBT is essential for success in this role.
- A proven ability to design, build, and maintain advanced data models is crucial for supporting comprehensive data analytics and reporting.
- Strong communication and collaboration skills are necessary to work effectively with cross-functional teams.
- The candidate should be able to work independently and thrive in a dynamic environment, taking ownership of projects from initiation to completion.
Data Engineer (hybrid)
Toronto
Engineering
Job is no longer active
About Homebase
Personalized rent-to-own real estate financing using technology in SEA