Asia GWAM Data Engineer
Core
Design, develop, and support scalable data pipelines and integrations for Global Wealth & Asset Management stakeholders across Asia and Canada.
Role type
Senior Data Engineer (Cloud Data Platform)
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, Agile delivery
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 (ADLS), Spark, PySpark, Python, SQL, Event Hubs, Debezium
Responsibilities
Design and develop data pipelines and integrations across multiple source systems; Build ETL/ELT solutions using Azure technologies; Develop and maintain data ingestion, transformation, and data quality processes; Monitor data pipelines and platform performance, troubleshoot issues, and optimize processing efficiency; Investigate and resolve production incidents; Support the design and delivery of business-aligned data products; Participate in Agile delivery ceremonies.
Seniority
Senior, hands-on IC
