Cloud Data Engineer at Manulife
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Summary
Senior Data Engineer at Manulife in Montréal (hybrid) designing scalable cloud-based data pipelines and infrastructure for the North American Retirement business. Day to day involves building orchestration and quality controls with SQL, PySpark, Azure, NoSQL and data lakes, and developing applications that support machine learning workflows.
Join Manulife as a Senior Data Engineer in Montreal, Quebec. This hybrid role focuses on designing scalable cloud-based data solutions while collaborating with industry experts.
Manulife is seeking a Senior Data Engineer to enhance its North American Retirement organization. This position demands collaboration with business and technology teams to create efficient data infrastructures. Responsibilities include creating data pipelines, troubleshooting quality issues, and supporting machine learning use cases.
Key Responsibilities: • Collaborate on secure and efficient data engineering solutions • Design and maintain scalable data infrastructure • Implement data orchestration pipelines and quality control • Partner with stakeholders to assess data requirements • Develop applications tailored for machine learning workflows
Requirements: • 4+ years of data engineering or data science experience • Expert in SQL and PySpark • Knowledge of NoSQL databases and data lakes • Experience with Azure cloud technologies • Familiarity with job orchestration tools like Roadrunner
Enhance data capabilities while working on valuable projects with a top financial services provider like Manulife.
Manulife is seeking a Senior Data Engineer to enhance its North American Retirement organization. This position demands collaboration with business and technology teams to create efficient data infrastructures. Responsibilities include creating data pipelines, troubleshooting quality issues, and supporting machine learning use cases.
Key Responsibilities: • Collaborate on secure and efficient data engineering solutions • Design and maintain scalable data infrastructure • Implement data orchestration pipelines and quality control • Partner with stakeholders to assess data requirements • Develop applications tailored for machine learning workflows
Requirements: • 4+ years of data engineering or data science experience • Expert in SQL and PySpark • Knowledge of NoSQL databases and data lakes • Experience with Azure cloud technologies • Familiarity with job orchestration tools like Roadrunner
Enhance data capabilities while working on valuable projects with a top financial services provider like Manulife.