Data Engineer Hybrid Position at Zurich
Posted
Summary
Data Engineer at Zurich Canada builds and maintains scalable data pipelines on Azure and Databricks, transforms data with Python and SQL, ingests data from enterprise apps and APIs, monitors production jobs, and supports analytics and AI initiatives in a hybrid Toronto role.
Step into a rewarding Data Engineer role with Zurich Canada, a global leader in insurance. This hybrid position enables you to create and optimize data pipelines that drive analytics and AI advancements.
As a Data Engineer at Zurich Canada, your primary responsibility will involve building and maintaining scalable data solutions using cutting-edge technologies such as Azure and Databricks. Collaborate with various teams to ensure data integrity and help support business goals through high-quality data management. This is an excellent chance to grow within a values-driven workplace.
Key Responsibilities: • Develop scalable data pipelines on Microsoft Azure • Transform data using Python and SQL based on standards • Ingest data from enterprise applications and APIs • Monitor production jobs and resolve data discrepancies • Contribute to technical documentation and knowledge sharing
Requirements: • Bachelor’s degree or relevant work experience • Proficient in Python for data processing • Working knowledge of SQL and Databricks • Understanding of core data engineering concepts • Curiosity and strong problem-solving skills
Build a meaningful career at Zurich Canada, enhancing your skill set and contributing to vital data initiatives.
As a Data Engineer at Zurich Canada, your primary responsibility will involve building and maintaining scalable data solutions using cutting-edge technologies such as Azure and Databricks. Collaborate with various teams to ensure data integrity and help support business goals through high-quality data management. This is an excellent chance to grow within a values-driven workplace.
Key Responsibilities: • Develop scalable data pipelines on Microsoft Azure • Transform data using Python and SQL based on standards • Ingest data from enterprise applications and APIs • Monitor production jobs and resolve data discrepancies • Contribute to technical documentation and knowledge sharing
Requirements: • Bachelor’s degree or relevant work experience • Proficient in Python for data processing • Working knowledge of SQL and Databricks • Understanding of core data engineering concepts • Curiosity and strong problem-solving skills
Build a meaningful career at Zurich Canada, enhancing your skill set and contributing to vital data initiatives.