Senior Data Engineer: Python, Spark, Databricks & AWS
Summary
Designs, builds, and maintains robust data pipelines and lakehouse architectures on AWS to support BI and analytics, working on-site in Singapore. Core stack is Python, PySpark/Spark, Delta Lake, and Databricks, with streaming and batch processing; 5+ years of experience required.
Tap Growth ai in Singapore is seeking a Data Engineer/Senior Data Engineer with 5+ years of experience to design, build, and maintain robust data pipelines and architectures. You will ensure reliability, scalability, and performance of data infrastructure to support BI and analytics initiatives.
Work from office in Singapore. The role focuses on lakehouse architectures, streaming/batch processing, and end-to-end data engineering workflows using Python, PySpark, Spark, Delta Lake, and AWS