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Ingénieur en apprentissage automatiqueCompany 1 - The Manufacturers Life Insurance Company • Toronto, Ontario
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Ingénieur en apprentissage automatique

Ingénieur en apprentissage automatique

Company 1 - The Manufacturers Life Insurance Company • Toronto, Ontario
Il y a 14 jours
Type de contrat
  • Temps plein
Description de poste

Looking for a data engineer to join the Canadian data office here at Manulife. The data engineer will 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. Collaborate with team members to understand data, supporting our businesses while aligning with IT security.

Position Responsibilities:

  • Gain deep understanding of data by collaborating with business and advanced analytics partners; demonstrate the understanding to design, curate and publish connected data sets that enables users to self-serve.
  • Propose technology improvements or come up with innovative solutions to solve business problems.
  • Collaborate with Architecture, security and risk teams and implement latest guidelines and Azure standard methodologies.
  • 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.
  • Cultivate and maintain strong relationships and fosters collaboration with various teams and partners within the organization.

Required Qualifications:

  • 5+ years of previous data engineering experience, with 3+ years of experience working in enabling azure related data technologies.
  • Solid understanding of Azure infrastructure; subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password\credential\key management and data protection.
  • Bachelor’s in computer/IT or data related fields required. Master’s degree is a plus.

Preferred Qualifications:

  • Excellent knowledge of Data visualization: PowerBI
  • Strong hands on knowledge of Azure Databricks (Unity Catalog), ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL along with 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 to maintain and resolve issues with data pipelines in prod.
  • Knowledge of implementing azure technologies and networking via terraform along with ability to fix issues with Azure infra in prod.
  • Good understanding of data modeling/data marts/Lake house architecture, SCD , data mesh and delta lake overall.
  • Solid understanding of data privacy and compliance regulations and standard methodologies for preserving customer data.
  • Knowledge of insurance and financial products is a plus.
  • We’ll empower you to learn and grow the career you want.
  • We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we’ll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$86,100.00 CAD - $136,100.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.

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Ingénieur en apprentissage automatique • Toronto, Ontario

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