Senior Data Engineer at Manulife
Toronto, ON M4W 1E5, Canada -
Full Time


Start Date

Immediate

Expiry Date

14 Nov, 25

Salary

94220.0

Posted On

14 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

THE OPPORTUNITY

As a Senior Data Engineer, where you will play a pivotal role in shaping the future of our data analytics capabilities on Azure and AWS platforms. You will apply your expertise in cloud technologies to provide administration and operational support, while also developing automation solutions for provisioning Azure services.
This position, you will implement critical security controls and supply to the development of value stream codebases. Your leadership skills will be critical as you guide a small team, offering technical direction and fostering collaboration. Through Agile sprints, you’ll support rapid iteration, translating user needs into software requirements and maintaining robust data pipelines.
This is an exciting chance to work closely with Data Engineers, information architects, and Data Scientists to innovate and deliver high-quality solutions that drive business outcomes.

Responsibilities
  • on experience providing Administration and Operational support for Azure and AWS Cloud Data Analytics services and cloud technologies such as Azure Synapse, Azure Databricks, Azure Data Factory, Azure Purview, etc.
  • Develop automation of provisioning Azure services and resources
  • Implementing security controls on cloud PaaS, and IaaS based solutions
  • Supplies to portions of value stream codebase
  • Lead small team and provide technical guidance to junior staff and project team
  • Builds, codes, tests and maintains high quality software/maintenance scripts/dashboards/reports
  • Participates in Agile sprints; supports rapid iteration and development and deployment
  • Translates user requirements into software requirements
  • Supports batch application jobs
  • Maintains data pipelines, application framework, infrastructure for data generation; works closely with Data Engineers, information architects and Data Scientists
  • Administration and Supporting process like Incident, Change & Problem Management
  • Access Control ManagementRisk and Vulnerability Management
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