Manager, Data Engineer, Group Technology & Ops
SGD 115K-143K (estimate) Mid-level Full Time
Tasks
- Build data ingestion and transformation frameworks
- Collaborate with IT and business stakeholders
- Deploy machine learning models to production
- Design and develop data processing pipelines
- Develop full stack applications and internal tools
- Develop real-time scalable systems
- Operationalize machine learning models
- Perform performance tuning and optimization
- Support data architecture for unstructured data governance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Flink | Apache Hive | Apache Iceberg | Apache Kafka | Apache NiFi | Apache Ozone | Apache Ranger | Apache Spark | CI/CD | Cloudera Machine Learning | Data Governance | Data Lake | Data Warehouse | Docker | Flask | Hadoop | Java | Kubernetes | MLflow | Machine Learning | Model Deployment | NLP | Observability | OpenShift | Python | React | SQL | Scikit-learn | Shell | Spark MLlib | Trino | XGBoost
Education
Roles
Data Engineer | Engineer | Engineering | Engineering Manager | Manager
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