Asia GWAM Senior Data Engineer
Core
Design and build scalable data solutions, data products, and enterprise data platforms for Global Wealth & Asset Management (GWAM) stakeholders across Asia and Canada.
Role type
Senior hands-on Data Engineer (Data Platform & Modelling)
Builds
Enterprise data platforms, data products, and scalable cloud-based data solutions
Domain
Financial Services / Wealth Management / Cloud Data Engineering
Required skills
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Spark/PySpark, Python, SQL, Data Modelling (Conceptual/Logical/Physical/Dimensional), Change Data Capture (CDC), Streaming technologies, Agile delivery
Preferred skills
Financial services domain knowledge, Data governance frameworks, Data product concepts, AI/Generative AI solutions, Global distributed team experience
Technologies
Azure Data Lake Storage (ADLS), Event Hubs, Azure SQL, Cosmos DB, Debezium
Responsibilities
Design and maintain robust data models; Integrate data from multiple source systems into enterprise platforms; Build ETL/ELT solutions; Conduct proof-of-concepts for new integration patterns; Maintain and support the Enterprise Data Lake; Monitor platform performance and optimize code; Investigate incidents and drive continuous improvements; Produce technical documentation and runbooks; Perform unit, integration, and deployment testing; Collaborate with business and technology stakeholders across regions.
