Hybrid Senior Data Engineer

at Manulife

• Job title: Senior Data Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: CA$94,220 - CA$174,980 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, ETL, Jenkins, PySpark, Python, Spark, SQL, Terraform
• Location requirements: Hybrid, Toronto, Canada

About the role

• Senior Data Engineer at Manulife building and maintaining Azure data pipelines for AI/ML analysis. Collaborating with partners to use data effectively and promote customer-first approaches.

Responsibilities

• Enable the building, maintenance, enhancements, and support of new and existing Azure data pipelines for various analytical use cases inclusive of AI/ML/BI/GEN AI and reporting
• Partner with collaborators in understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife’s IT security and risk guidelines
• Develop data understanding with partners; prioritize building interconnected datasets for user access
• Value quality on ensuring our Azure applications in prod run within SLA and ensure their robustness and security
• Propose technology improvements or come up with innovative solutions to solve business problems
• Collaborate with the Architecture team, as well as experts in security and risk management
• Lead, mentor and guide data engineers to promote customer first approach
• Automate infrastructure provisioning and deployment using tools such as terraform
• Implement CI/CD pipelines that enables automated code deployment
• Participate in Agile sprints and ceremonies; supports rapid iteration and development
• Take lead in maintaining the inventory of critical data elements and lineage
• Cultivate and maintain strong relationships and foster collaboration with various teams and partners within the organization

Requirements

• Bachelor’s in computer/IT or data related fields required
• Master’s degree is a plus
• 6 + years of previous data engineering experience
• 3+ years of experience working in enabling azure related data technologies
• Solid understanding of Azure infrastructure
• Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL
• Experience designing and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks
• High proficiency in GIT/Jenkins/dev ops processes
• Knowledge of implementing azure technologies and networking via terraform
• Proficient in data modeling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake
• Solid understanding of data privacy and compliance regulations

Benefits

• health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage
• adoption/surrogacy and wellness benefits
• employee/family assistance plans
• various retirement savings plans (including pension and a global share ownership plan with employer matching contributions)
• financial education and counseling resources
• generous paid time off program in Canada (includes holidays, vacation, personal, sick days, and statutory leaves of absence)