AWS Data Engineer — Lakehouse & Spark Architect
Posted
Summary
Design, build, and optimize data pipelines and lakehouse architectures on AWS using Databricks, Spark, and Delta Lake. The role covers ETL/ELT, data modeling, and pipeline monitoring, based at Tap Growth ai's Singapore office and requiring 6+ years of experience.
Tap Growth ai is hiring an AWS Data Engineer in Singapore to design, build and optimize data pipelines and architectures on AWS. The role requires 6+ years of experience and deep knowledge of Databricks, Spark, Delta Lake and AWS data services.
You will work on data lakehouse architectures, ETL/ELT processes, data modeling, and pipeline monitoring in a fast-paced, collaborative environment at our Singapore office.