Senior Data Engineer in Toronto
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Summary
Hybrid Senior Data Engineer/Data Modeler in Toronto designing data models and scalable pipelines for banking datasets. Day to day involves Python, PySpark, and SQL work: data transformation, ETL/ELT integration, and troubleshooting/optimizing large-scale data pipelines.
Drive data modeling and engineering initiatives as a Senior Data Engineer in a hybrid role located in Toronto, ON. Leverage your expertise in Python, PySpark, and SQL to shape banking data strategies.
We seek a hands-on Senior Data Engineer/Data Modeler with over 8 years of experience. Your skills in Data Engineering, Data Modeling, and strong Python and SQL proficiency are crucial for success. This role demands translating business needs into effective data solutions and optimizing data pipelines effectively.
Key Responsibilities: • Design data models for banking datasets • Develop scalable pipelines using Python and PySpark • Conduct SQL and JSON Data Modeling • Perform data transformation and integration • Troubleshoot and optimize data pipelines
Requirements: • 8+ years in Data Engineering and Modeling • Proficiency in Python and PySpark • Extensive SQL and data modeling experience • Knowledge of ETL/ELT processes • Experience with large-scale data platforms
Bring your Python expertise and Data Modeling skills to impact financial data solutions.
We seek a hands-on Senior Data Engineer/Data Modeler with over 8 years of experience. Your skills in Data Engineering, Data Modeling, and strong Python and SQL proficiency are crucial for success. This role demands translating business needs into effective data solutions and optimizing data pipelines effectively.
Key Responsibilities: • Design data models for banking datasets • Develop scalable pipelines using Python and PySpark • Conduct SQL and JSON Data Modeling • Perform data transformation and integration • Troubleshoot and optimize data pipelines
Requirements: • 8+ years in Data Engineering and Modeling • Proficiency in Python and PySpark • Extensive SQL and data modeling experience • Knowledge of ETL/ELT processes • Experience with large-scale data platforms
Bring your Python expertise and Data Modeling skills to impact financial data solutions.