Data Engineer Role at Manulife
Posted Updated
Summary
Senior Data Engineer at insurer Manulife in a hybrid role, designing cloud data pipelines, scalable data infrastructure, and quality processes to support analytics and ML use cases. Core stack is SQL, PySpark, and Azure (including Azure Data Factory).
Elevate your career as a Senior Data Engineer with Manulife in Montreal, Quebec. Collaborate on cloud-based data solutions and optimize data workflows with advanced analytics and machine learning technologies.
As a Senior Data Engineer, you'll work closely with senior leadership, business stakeholders, and data professionals. This hybrid role focuses on translating data requirements into scalable solutions, designing cloud data pipelines, and monitoring performance. Key skills include SQL and PySpark, along with experience in Azure cloud environments to support data engineering initiatives.
Key Responsibilities: • Collaborate on efficient and secure data engineering solutions • Design and maintain scalable data infrastructure • Implement data pipelines and quality control processes • Support analytics and ML use cases with reliable data • Evaluate tools within the data engineering ecosystem
Requirements: • 4+ years of data engineering or data science experience • Proficient in SQL, PySpark, and Azure Data Factory • Knowledge of data lakes and NoSQL databases • Familiar with job orchestration and version control systems • Experience integrating with legacy environments
Make an impact with your expertise in data architecture and quality assurance while contributing to innovative projects at Manulife.
As a Senior Data Engineer, you'll work closely with senior leadership, business stakeholders, and data professionals. This hybrid role focuses on translating data requirements into scalable solutions, designing cloud data pipelines, and monitoring performance. Key skills include SQL and PySpark, along with experience in Azure cloud environments to support data engineering initiatives.
Key Responsibilities: • Collaborate on efficient and secure data engineering solutions • Design and maintain scalable data infrastructure • Implement data pipelines and quality control processes • Support analytics and ML use cases with reliable data • Evaluate tools within the data engineering ecosystem
Requirements: • 4+ years of data engineering or data science experience • Proficient in SQL, PySpark, and Azure Data Factory • Knowledge of data lakes and NoSQL databases • Familiar with job orchestration and version control systems • Experience integrating with legacy environments
Make an impact with your expertise in data architecture and quality assurance while contributing to innovative projects at Manulife.