Location
Singapore, Singapore, Singapore
Posted
June 04, 2026
Job Description
Our dashboards are slow. Pipelines break. Analysts can't trust the data. Data scientists wait days for features.
You fix that. As a Senior Data Engineer, you build the pipes, warehouses, and tools that let 2000+ people make data-driven decisions at petabyte scale. If data is late, wrong, or expensive — you feel it. If queries run 10x faster and costs drop 50% — that's also you.
What You'll Do
1. Build & Scale Data Pipelines
- Design, build, and operate batch + real-time pipelines ingesting 1M+ events/sec from app, logs, and 3rd party sources
- Own data modeling: dimensional, Data Vault, or lakehouse on Iceberg/Hudi/Delta. You decide, you defend
- Transform messy raw data into clean, tested, documented marts that 1000+ users trust
- Orchestrate 1000+ DAGs with Airflow: SLAs, retries, backfills, ...