Senior Data Engineer – Databricks & PySpark for Finance
Summary
Design and optimize scalable ETL pipelines using PySpark and Databricks for a global financial institution’s data infrastructure.
Senior Data Engineer – Databricks is sought by a Global Financial Institution in Singapore to build and optimize next-generation data infrastructure. You will design scalable ETL pipelines using PySpark and Databricks, and implement robust models for performance and governance.
Ideal candidates have 5+ years in data engineering, with Databricks hands-on experience, cloud platform knowledge, and a passion for modern Lakehouse architectures.