Data Engineer building Azure ETL/ELT pipelines and governed data architecture for Manulife, an international financial services provider. Improving data integration, automation, and platform efficiency.
About the role
- Data Engineer building AWS lakehouse pipelines for SOVRA’s public procurement platform. Developing governed Bronze, Silver, and Gold data products for government customers.
Responsibilities
- Build and maintain ingestion pipelines from product databases and SaaS platforms into Bronze-layer storage
- Develop Silver-layer cleansing and conforming logic
- Model Gold-layer datasets in dbt for internal teams and external customers
- Translate internal product, GTM, and AI use cases into Gold-layer data products
- Support direct data access, embedded BI, and curated exports for external customers
- Monitor pipeline SLAs and resolve production incidents
- Maintain catalog and lineage metadata and run data-quality checks
- Contribute to API-based SaaS connectors, data streams, AI-consumable datasets, and lakehouse cost/performance tuning
- Gather data requirements with cross-functional teams
- Design, develop, maintain, and optimize scalable data pipelines, ETL processes, data models, and schemas
- Ensure data consistency, integrity, availability, and accessibility across storage systems
- Troubleshoot data integration issues and collaborate with data source owners
- Provide technical support and continuously improve data engineering practices
Requirements
- Bachelor's degree in computer science, Engineering, or a related field
- 3–10+ years of experience in data engineering, data warehousing, and ETL processes
- Proficiency in Python and SQL
- Experience with AWS data services, particularly S3, Glue, and Athena
- Hands-on experience with dbt for data transformation and modeling
- Knowledge of data lakehouse patterns and medallion architecture
- Experience with Infrastructure as Code tools, specifically Terraform
- Experience with relational and NoSQL databases
- Understanding of AI and machine learning concepts and ability to prepare data for AI-driven products
- Fluent in English and French, verbally and in writing
- Authorized to work in Canada; no work visa or transfer sponsorship available
- Strong problem-solving, analytical, communication, interpersonal, and customer-satisfaction skills
- Detail-oriented and able to work independently and as part of a team in a fast-paced environment
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