GenAI Data Engineer - Enterprise Pipelines & AI Data
re-zoo-me · Singapore, Singapore ·
- Category
- Data engineering
- Experience
- 5+ years
A data engineer owns end-to-end data solutions in a hybrid-cloud environment, building scalable pipelines with Databricks, Apache Spark, and Kafka, and laying foundations for analytics, ML, and GenAI capabilities. Requires 5–8 years in data engineering with strong Python and SQL plus GenAI, Delta Lake, and Microsoft Fabric familiarity.
unknown is seeking an experienced Data Engineer to own end-to-end data solutions in a hybrid-cloud environment. The role focuses on building scalable data pipelines using Databricks, Apache Spark and Kafka, and laying foundations for analytics, ML and AI capabilities.
The ideal candidate has 5–8 years in data engineering with strong Python and SQL skills, experience with GenAI data solutions and familiarity with Databricks, Delta Lake and Microsoft Fabric.