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Data Engineer (hybrid)

Design and optimize data pipelines to process large volumes of structured and unstructured data.
Toronto
Senior
3 weeks ago
Homebase

Homebase

Personalized rent-to-own real estate financing using technology in SEA

✨ About The Role

- The Data Engineer will be responsible for designing, developing, and optimizing data pipelines to handle large volumes of structured and unstructured data. - Building and maintaining advanced data models using dimensional data modeling techniques is a key responsibility. - The role involves creating insightful reports and dashboards to support business performance analysis. - Collaboration with data scientists and analysts to support their data needs is an important aspect of the job. - The Data Engineer will also drive continuous improvement of data processes through automation and innovation.

âš¡ Requirements

- The ideal candidate will have over 4 years of experience in data engineering, showcasing a strong background in SQL and Python. - Expertise in tools such as Databricks, Airflow, and DBT is essential for success in this role. - The candidate should have experience with cloud analytics databases, particularly Redshift, to effectively manage data pipelines. - Excellent communication and collaboration skills are necessary to work with cross-functional teams and translate business requirements into technical solutions. - A proactive approach to troubleshooting and resolving data issues in a timely manner is crucial for maintaining data integrity.
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Data Engineer (hybrid)
Toronto
Engineering
About Homebase
Personalized rent-to-own real estate financing using technology in SEA