Senior Data Engineer
TD
About the role
About
Elevate your data engineering expertise at TD in Toronto as a Senior Data Engineer. Utilize Databricks, Apache Spark, and Python to build scalable, secure data platforms.
This senior role calls for a hands-on engineer with over 8 years of Data Engineering experience. You’ll primarily focus on designing and operating Lakehouse architectures and optimizing performance through advanced data modeling and processing solutions. Your involvement will also include ensuring production reliability and data governance as you work with Azure technologies.
Bring your advanced expertise in data engineering and cloud solutions to enhance TD's data capabilities.
Responsibilities
- Design and maintain comprehensive data pipelines with Databricks
- Develop Lakehouse architectures using Delta Lake and Unity Catalog
- Create scalable data processing solutions with Python and Py Spark
- Implement ingestion workflows via Azure Data Factory
- Monitor data quality and optimize Spark workloads
Requirements
- 8+ years of Data Engineering experience
- 5+ years with Databricks and Apache Spark
- Strong proficiency in Python and SQL
- Knowledge of Azure Cloud technologies
- Mandatory Databricks certification required
Skills
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