Enhance data solutions at State Street by becoming a Data Engineer specializing in Databricks. Utilize your skills to create efficient high-volume data pipelines in a hybrid work model. This position involves designing, developing, and maintaining scalable ETL pipelines using Databricks on Azure/AWS. You will work collaboratively to resolve data issues while contributing to the full software development lifecycle, from initial design to deployment. Key Responsibilities:

- Design and construct data ingestion pipelines for diverse data types
- Optimize Databricks job performance for complex queries
- Handle data quality issues through analysis and corrective action
- Manage all phases of software development lifecycle effectively
- Collaborate across teams to achieve project goals Requirements:
- 7+ years of IT experience, including data engineering roles
- Proven experience with Databricks SQL & Scala/PySpark
- Solid understanding of cloud services, specifically Azure/AWS
- Excellent communication and problem-solving capabilities
- Experience in financial services is preferred Elevate your career in data engineering with State Street and play a key role in data management innovation.

📌 Data Engineer - Databricks and Cloud (Toronto)
🏢 State Street
📍 Toronto