Data Engineer - PySpark & ETL for Banking (Singapore)
Posted 3
views
Summary
Design, build, and maintain large-scale ETL pipelines using PySpark, Python, and SQL for data processing in a Singapore banking environment, focusing on data quality, transformation, and performance. Cloud platform experience (AWS/Azure/Databricks) and Agile/Scrum practices are preferred.
RISKDATA CONSULTING PTE. LTD. is seeking a data engineer with hands-on Python and PySpark experience to support large-scale data processing in a Singapore banking environment.
You will design, develop and maintain ETL pipelines using PySpark, Python and SQL, focusing on data quality, transformation and performance.
Experience with AWS, Azure or Databricks, Agile/Scrum practices and strong stakeholder communication is preferred.