Data Engineering, Lakehouse and AI Data Platform Engineer, Vice President, Singapore
Singapore, Singapore, Singapore
SGD 224K-270K (estimate) Executive-level Full Time
Tasks
- Apply data modelling principles
- Build testing and monitoring standards
- Create production ready data pipelines
- Design and build batch and streaming data pipelines
- Develop raw refined and curated datasets
- Implement data quality validation controls
- Lead technical design and delivery workstreams
- Model historical state and change over time
- Optimize partitioning and clustering for performance
- Perform data reconciliation and root cause analysis
- Refactor data flows to improve reliability and performance
- Support schema design and schema evolution
- Troubleshoot SQL queries and data issues
- Work with data consumers on data product usability
Perks/Benefits
- N/A
Skills/Tech-stack
ANSI SQL | Apache Iceberg | Apache Spark | Avro | CI/CD | Cause analysis | Data Quality | Data Reconciliation | Databricks | Docker | Hadoop | JSON | Java | Kafka | Kubernetes | Parquet | Python | Root Cause Analysis | Root cause | SQL | Snowflake | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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