Data Engineer – 12 months contract
Summary
12-month contract Data Engineer role in Singapore, placed by recruiter Ethos BeathChapman for a global fintech client. Day to day involves building and supporting large-scale data pipelines with Spark, Kafka, Hive, and Airflow on Cloudera Data Platform; requires 5–8 years' experience and immediate availability without sponsorship.
Our client is a leading global fintech organisation seeking a Data Engineer on a 12-month contract to support high-priority data initiatives.
Requirements
- Minimum of 5–8 years of experience as a Data Engineer, including at least 2 years working extensively with Apache Spark.
- Proven hands‑on experience with Cloudera Data Platform (CDP) in a production environment.
- Strong expertise in Apache Spark, including Spark Core, Spark SQL, and performance tuning.
- Solid experience building and supporting large-scale data pipelines using Kafka, Hive, Spark, and Airflow.
- Advanced SQL skills with proven capability in data validation, transformation, and troubleshooting.
- Proficiency in Python and Bash scripting within Linux-based environments.
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.