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Data Engineer Group Analytics
Job Description & How to Apply Below
Make an impact as a Data Engineer with Manulife's Group Benefits Product Data Analytics team in Toronto. Design scalable data solutions that enhance business intelligence and improve customer outcomes.
In this hybrid role, you will lead the lifecycle of data engineering, working on data sourcing, transformation, and quality management. Collaborate with business stakeholders to translate analytical requirements into actionable data pipelines and models. Your expertise will help drive data platform modernization and improve analytics capabilities.
Key Responsibilities:
• Design effective data infrastructure for data ingestion
• Develop end-to-end data pipelines ensuring reliability and lineage
• Implement data orchestration for cleansing and validation
• Build robust ETL/ELT pipelines with fault tolerance
• Enhance data models and support enterprise platforms
Requirements:
• Bachelor’s or master’s degree in computer science
• 10+ years of data engineering experience
• Advanced SQL expertise with relational databases
• Experience in Azure Data Factory and Databricks
• Proficiency in PySpark, Python, and big data frameworks
Utilize your data engineering expertise to drive impactful solutions that matter in the Group Benefits Analytics at Manulife, Toronto.
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