First VP, Senior Data Engineer, Group Technology & Ops
SGD 171K-214K (estimate) Senior-level Full Time
Tasks
- Build Lakehouse bronze silver gold layers
- Build orchestration logging monitoring and error handling
- Build scalable real-time data systems
- Create governed data products
- Design data architecture for NLP and AI analytics
- Design data models
- Design metadata driven ingestion frameworks
- Develop ingestion and transformation frameworks for batch and real time data
- Develop reusable Spark Python components
- Implement data observability and governance
- Implement data quality controls
- Operationalize machine learning models
- Performance tune Spark jobs and distributed processing
- Support DevOps CI CD and infrastructure as code
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Atlas | Apache Flink | Apache Hive | Apache Iceberg | Apache NiFi | Apache Ranger | Apache Spark | CI/CD | Cloudera Machine Learning | Data Governance | Data Lineage | Data Modeling | Data Quality | Docker | Flask | Hadoop | Hadoop Ozone | Infrastructure as Code | Java | Kafka | Kubernetes | Lakehouse | MLflow | MLlib | Machine Learning | Observability | OpenShift | Python | React | SQL | Scikit-learn | Shell Scripting | Trino | XGBoost | “as-code”
Education
Roles
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