ethos beathchapman
Singapore / Global
Singapore / Global
About the team
This role sits within the central Finance organisation of a large technology company operating multiple consumer platforms. The team owns the finance data function end to end: building and operating scalable infrastructure for ingestion, transformation and warehousing through resilient ETL pipelines, and shipping internal web tools that let stakeholders reach and work with the data for reporting and analysis. You'll help turn high-volume operational data into reliable, analysis-ready information that finance and the business depend on.
What you'll do
Pull data from a range of source systems, clean it, and land it into the warehouse
Model warehouse structures and author ETL pipelines; ship and maintain data jobs across a mixed technology stack
Investigate slow or failing jobs, trace the underlying cause, and tune for throughput
Partner with analysts and downstream users to translate their needs into stable, reusable data services and frameworks
Work alongside platform engineers on shared data-engine and platform capabilities
Keep data, code and documentation aligned with governance and compliance requirements
What we're looking for
Degree in Computer Science, Business Analytics, Mathematics or a related field
Comfortable in at least one of Python, Scala or Java
Hands-on with at least one distributed processing framework: PySpark, Hadoop or Flink
Working knowledge of Linux and shell scripting
Self-directed, strong ownership, genuine interest in data tooling and new tech
Clear communicator who works well in a team
Git experience is a plus
ST
Reg No. R1768414
BeathChapman Pte Ltd
Licence no. 16S8112
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global