Senior Data Engineer
at Manulife
Toronto, ON M4W 1E5, Canada -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 15 Apr, 2025 | Not Specified | 16 Jan, 2025 | 3 year(s) or above | Good communication skills | No | No |
Required Visa Status:
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US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
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Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
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C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
THE OPPORTUNITY
Looking for a Senior data engineer to join the Canadian data office here at Manulife.
Senior 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. You will partner with team members in understanding data and leveraging it to serve our businesses and operations whilst ensuring adherence to Manulife’s IT security and Risk guidelines.
Responsibilities:
- Bachelor’s in computer/IT or data related fields required. Master’s degree is a plus.
- 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.
- 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.
REQUIREMENT SUMMARY
Min:3.0Max:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Toronto, ON M4W 1E5, Canada