Senior Data Engineer — Pipelines & Architecture (Singapore)
Summary
Tap Growth ai is hiring a Senior Data Engineer in Singapore to design, build, and maintain data pipelines and architecture, ensuring data availability, quality, and security while collaborating with analytics teams. The role requires 8+ years of data engineering experience with batch and real-time processing using tools like Azure Data Factory, Databricks, Snowflake, or Kafka.
Tap Growth ai is seeking an experienced Data Engineer to design, build, and maintain robust data pipelines and architectures in Singapore. The role emphasizes data availability, quality, and security across the organization and demands strong collaboration with analytics teams.
The candidate should have at least 8 years of hands-on data engineering experience, including batch and real‑time processing, and with cloud services like Azure Data Factory, Databricks, Snowflake, or Kafka.