Data Engineer
Core
Design, develop, and support scalable data pipelines and integrations for the Global Wealth & Asset Management Asia Data Project, serving business and analytics initiatives across Canada and Asia.
Role type
Senior hands-on Data Engineer
Builds
Enterprise-scale data platforms, ETL/ELT solutions, and the Enterprise Data Lake (EDL)
Domain
Financial services / Cloud data engineering
Required skills
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Spark/PySpark, Python, SQL, Event Hubs, Change Data Capture (CDC), database management, cloud-based data solutions, data quality processes
Preferred skills
Financial services domain knowledge, data governance, data product concepts, AI/Generative AI solutions
Technologies
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage, Spark, PySpark, Python, SQL, Event Hubs, Debezium
Responsibilities
Design and build ETL/ELT solutions; maintain and support the Enterprise Data Lake; monitor and optimize data pipeline performance; conduct proof-of-concepts for new technologies; resolve production incidents; develop technical documentation; perform unit and integration testing; collaborate with global stakeholders.
Seniority
Senior, hands-on IC