Head of Data Engineering
CHF 164K-254K (estimate) Executive-level Full Time
Tasks
- Align business logic with technical semantics
- Automate pipeline development with AI
- Build streaming data architectures
- Define KPIs and SLAs
- Define and enforce data engineering standards
- Design data integration pipelines
- Drive Agile product delivery
- Ensure data quality at source
- Implement data governance and lineage
- Lead cross-functional engineering teams
- Monitor latency data freshness and reliability
- Operate data pipelines batch and real time
- Optimize spark performance
- Provision structured analytics data
- Support dashboards and AI initiatives
Perks/Benefits
- N/A
Skills/Tech-stack
AI Automation | Agile | Batch Processing | Caching | Cause analysis | Data Engineering | Data Governance | Data Lineage | Data Management | Data Modeling | Data Pipelines | Data Quality | Data integration | Data platform | Databricks | KPI Monitoring | Palantir Foundry | Partitioning | Query Tuning | Real Time | Real-time Processing | Root Cause Analysis | Root cause | SLAs | Semantic layer | Spark | Spark SQL | Streaming | Time processing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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