Data Engineer — Spark, Pipelines & Cloud Data Platforms
Summary
Designs, builds, and optimizes large-scale data pipelines and transformation applications, ingesting, transforming, and storing data on cloud platforms. Day-to-day work centers on Spark, PySpark, Scala, and Python, with real-time and batch processing via Kafka, Airflow orchestration, and CI/CD automation.
JEET ANALYTICS PTE. LTD. is seeking a data engineering specialist to design, build and optimize large-scale data pipelines and transformation apps. You will work with Spark, PySpark, Scala and Python to ingest, transform and store data across cloud platforms, while ensuring quality, security and operational stability.
The role emphasizes real-time and batch processing with Kafka, Airflow orchestration and CI/CD automation in a collaborative enterprise environment.