Databricks Data Engineer: Spark, Delta Lake & ETL
Summary
A hands-on Databricks/Data Engineer role in Singapore focused on designing, building, and maintaining scalable data pipelines on the Databricks Lakehouse Platform. Core technologies include Spark, PySpark, Python, SQL, and Delta Lake, with work across Azure, AWS, or GCP data services on batch and near-real-time processing.
ESPIRE INFOLABS (SINGAPORE) PTE. LTD. is seeking a hands-on Databricks/Data Engineer to design, develop and maintain scalable data pipelines on the Databricks Lakehouse Platform.
You will leverage Spark, PySpark, Python, SQL and Delta Lake to deliver reliable, high-performance data solutions. The role involves working with Azure, AWS or GCP data services, building batch and near-real-time processing, ensuring data quality and governance, and collaborating with architects, data scientists and BI