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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.
Our client is a leading global fintech organisation seeking a Data Engineer on a 12-month contract to support high-priority data initiatives.
As this position needs to be filled as soon as possible, we can only proceed with candidates who are eligible to start working within the next month in Singapore without sponsorship.
All applications are treated in the strictest confidence. Only shortlisted candidates will be responded to, if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.