Engineer AWS data pipelines for Sun Life’s Security Analytics team using Python, Glue, and Lambda in a hybrid organization. Strengthen trusted data foundations.

As a senior Data Engineer, you will support cloud and Big Data capabilities for security use cases. Your work enables threat intelligence, internal threat identification, business intelligence, and deep-dive analytics. Success requires data management expertise, analytics understanding, and experience working across business, analytics, and IT.

Key Responsibilities:
Parse security logs into usable data formats
Manage and improve complex data models
Provide guidance on ETL, quality assurance, and modeling
Productionize dashboards, reports, and analytical models
Collaborate with IT and Information Security teams

Requirements:
Five or more years of relevant data experience
Experience with cloud warehouses, pipelines, and ETL tools
AWS preferred for cloud data engineering experience
Data preparation, querying, reporting, and modeling experience
Ability to explain complex concepts across technical audiences

Use AWS engineering, security logs, and analytical data models to advance Sun Life’s data-driven security capabilities.

📌 Aws Security Analytics Engineer Toronto (Canada)
🏢 Sun Life of Canada Corporate
📍 Canada