Principal Data Engineer
Tasks
- Balance speed quality cost and risk
- Define data platform strategy
- Design production data pipelines
- Drive hiring onboarding and capability planning
- Establish data quality governance and security standards
- Implement CI/CD, testing, observability
- Influence stakeholders on data engineering roadmaps
- Lead data platform modernization and automation
- Lead large scale business critical data initiatives
- Mentor and coach data engineers
- Own data platform architecture decisions
Perks/Benefits
- Additional annual leave based on tenure
- Annual performance bonus
- Employee referral bonus
- Eyeglasses vouchers
- Flexible working schedule
- Fresh fruit bar and premium coffee
- Gift vouchers
- Hybrid work model
- Learning resources access
- Life insurance
- LinkedIn Learning access
- Meal vouchers
- Modern collaborative workspace
- Paid leave for special life events
- Private medical coverage
- Wellhub fitness membership
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure | Azure Data | Azure Data Factory | Batch Processing | CI/CD | Cloud platform | DBT | Data Architecture | Data Factory | Data Governance | Data Modeling | Data Quality | Data Security | Databricks | Distributed Systems | Docker | Event Driven | Event-driven architecture | GCP BigQuery | Git | Google Cloud | Google Cloud Platform | Great Expectations | Kubernetes | Observability | PySpark | Python | SQL | Scala | Streaming processing | Terraform | Testing | Web Services
Education
N/A
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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