Lead Data Engineer
Singapore, Singapore
SGD 165K-225K (estimate) Senior-level Full Time
Tasks
- Build data models and schemas for IoT telemetry
- Build self serve dashboards and analytics models
- Create metrics and semantic layer
- Define canonical KPI metrics with single source of truth
- Design and tune time series databases at scale
- Design medallion architecture bronze silver gold
- Evaluate and adopt OLAP orchestration and transformation tooling
- Implement data quality validation dedup and anomaly detection
- Ingest real time telemetry event streams
- Optimize schemas indexes compression downsampling retention and partitioning
- Own data platform end-to-end
- Set up data observability freshness SLAs and alerts
- Support safe querying for humans and LLM agents
Perks/Benefits
Skills/Tech-stack
AWS | Anomaly Detection | At least once | Azure | CDC | Data Modeling | Data Observability | Data Quality | Data Transformation | Database Design | EKS | Elasticsearch | Event Driven | Event-driven architecture | Exactly once | GCP | Geospatial Data | Geospatial indexing | Go | Idempotent Processing | InfluxDB | Java | Kafka | LLM | Lakehouse | Message Queues | Neo4j | OLAP | OpenRMF | Orchestration | PostgreSQL | Python | Quickwit | RDS | ROS | Robotics | S3 | SQL | Semantic layer | Time Series | Time-series databases | TimescaleDB
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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