Senior Data Engineer
Tasks
- Build data observability and lineage
- Build fraud data foundation
- Design scalable batch pipelines
- Develop point in time correct datasets
- Enable model training and backtesting data workflows
- Implement data quality controls
- Monitor data drift and pipeline failures
- Own data solutions from design to operations
Perks/Benefits
- Corporate discounts
- Corporate pension plan
- Digital meal vouchers
- Educational budget
- Employee share purchase plan
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid work model
- Language courses
- Language learning support
- Life and accident insurance
- Meditation
- Paid time off
- Public transportation ticket discount
- Relocation support
- Sabbatical bank
- Udemy business access
Skills/Tech-stack
AWS | Airflow | Alerting | Anomaly Detection | Apache Flink | Backtesting | BigQuery | Checkpointing | DBT | Data Drift | Data Drift Detection | Data Lineage | Data Validation | Drift Detection | Event time | Feature Engineering | GCP | Inference | Late Arriving Data | Model Training | Monitoring | Python | Reconciliation | State management
Education
N/A
Roles
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