Data Engineer
Core
Design, develop, and maintain scalable data pipelines and architecture to extract, transform, and load data from various sources into Manulife's data warehouse.
Role type
Data Engineer
Builds
Data pipelines, ETL/ELT processes, data models, schemas, and data dictionaries for analytical and operational use.
Domain
Financial services / Cloud data engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Azure Data Factory, Azure Databricks, Unity Catalog, Python, SQL, Java, Scala, data warehousing, relational data modeling, DevOps, CI/CD, data governance, performance tuning
Preferred skills
Production release and operational support model
Technologies
Microsoft Azure, SQL Server, Synapse, ADLS Gen2, Azure Data Factory, Azure Databricks, Unity Catalog
Responsibilities
Design and maintain scalable ETL/ELT pipelines; Develop and maintain data architecture including models and schemas; Integrate data from various sources ensuring quality and consistency; Implement data governance policies for security and compliance; Collaborate with data scientists and analysts to meet data requirements; Stay updated on big data and cloud computing best practices.
Seniority
Mid-Senior, hands-on IC
