Senior Data Engineer: Spark & Big Data Pipelines (12m)
Summary
12-month contract data engineer role in Singapore with a global fintech: building and maintaining large-scale data pipelines using Spark, Kafka, Hive, and Airflow, with a focus on data validation, transformation, and troubleshooting. Requires 5-8 years in data engineering, including 2+ years with Apache Spark.
A leading global fintech organisation is hiring a Data Engineer on a 12-month contract in Singapore to underpin high-priority data initiatives.
The role requires 5–8 years in data engineering, with at least 2 years using Apache Spark, and hands-on CDP in production. Strong SQL, Python, and Bash in Linux environments are essential.
You will build and maintain large-scale data pipelines using Kafka, Hive, Spark, and Airflow, focusing on data validation, transformation, and troubleshooting.