Lead Data Engineer
Tasks
- Build and operate ELT/ETL pipelines
- Define metrics semantic layers and curated data marts
- Design dimensional and analytical data models
- Design experiments and analyses with ROI
- Develop and productionize forecasting and optimization models
- Enable governed self service analytics
- Ensure pipeline resilience for freshness schema drift and failures
- Establish data modeling and quality best practices
- Implement Change Data Capture
- Integrate data across operational systems
- Mentor engineers and analysts and lead design reviews
- Operationalize canonical KPIs
- Own data platform architecture scalability performance and cost efficiency
- Perform anomaly detection and customer behavior analysis
- Serve as technical owner for data architecture tooling and standards
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics engineering | Anomaly Detection | Change Data Capture | Data Capture | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Warehouse | Data orchestration | Dimensional Modeling | ELT | ETL | Event Streaming | Experiment design | Forecasting | Indexing | Machine Learning | Metrics | Orchestration | Partitioning | Python | Query Optimization | SQL | Schema evolution | Semantic layer | Slowly Changing Dimensions
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
Regions
Countries
States
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