- Islandwide (Singapore) Singapore
Lokasi Kerja
Penerangan Kerja
Tanggungjawab
Mandatory Requirements
• 5–8 years of data engineering experience, including building and deploying large-scale data systems
• Strong hands-on experience designing batch and streaming pipelines using Apache Spark, Apache Flink and Apache Kafka
• Proficiency in Java or Scala for distributed data processing, together with SQL
• Experience deploying and scaling data workloads in containerised Kubernetes environments
• Experience with S3-compatible object storage, data-quality controls, schema and lineage management, checkpointing and recovery, GitLab and CI/CD practices
Preferred Requirements
• Experience working within the SAFe framework
• Experience developing data solutions for safety-critical and mission-critical systems
• Experience with MinIO or equivalent S3-compatible object storage; schema and lineage design; data-quality checks; metadata preservation; bronze/silver/gold layered processing; and data-integrity controls including erasure coding, checksums, bit-rot protection, background healing and strong consistency
• Experience implementing checkpointing and recovery across hot and cold reboots, retention and lifecycle controls for the contracted retention period, high availability, backup and recovery, and operational/disaster-recovery deployment with inter-site synchronisation
Equivalent Technologies
• Equivalent large-scale batch or stream-processing frameworks may be considered where the candidate demonstrates transferable distributed-data-system experience; Apache Airflow or an equivalent workflow-orchestration platform and other S3-compatible object stores remain relevant supporting technologies
**We regret to inform that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**
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