Hands-on Data Engineer: Databricks Lakehouse Pipelines
Summary
A hands-on Data Engineer who designs, builds, and optimizes scalable data pipelines on the Databricks Lakehouse platform. Day to day this means building batch and streaming pipelines with PySpark, implementing medallion architecture, and tuning Spark jobs for performance and cost while working with analysts, data scientists, and business teams.
APAR TECHNOLOGIES PTE. LTD. is seeking a hands-on Data Engineer to design, build, and optimize scalable data pipelines on the Databricks Lakehouse platform.
You will collaborate with analysts, data scientists, and business teams to deliver analytics-ready data assets. Responsibilities include building batch and streaming pipelines with PySpark, implementing medallion architecture, and tuning Spark jobs for performance and cost.