Enhance data solutions at State Street by becoming a Data Engineer specializing in Databricks. Utilize your skills to create productive 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