Lead Data Engineer
USD 224K Senior-level Full Time
Tasks
- Apply security and governance controls
- Build reusable ingestion transformation and orchestration frameworks
- Design scalable secure data platforms
- Develop shared transformation libraries
- Document patterns and runbooks
- Enable self-service data consumption
- Enforce data quality lineage and observability
- Implement batch and streaming ingestion patterns
- Implement data modeling and semantic layers
- Optimize cost, performance, and reliability
- Partner with engineers analytics and ML teams
- Provide orchestration with reusable workflows
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Beam | Autoscaling | BigQuery | CI/CD | Canonical Data | Canonical Data Models | Cloud Build | Cloud Composer | Cloud Key Management Service | Cloud Storage | Cloud Workflows | Cloud key management | Cloud platform | Column-Level Security | Data Lineage | Data Quality | Data Vault | Data models | Dataflow | Dataproc | Dimensional Modeling | Git | Google Cloud | Google Cloud Platform | IAM | Java | Key Management Service | Logging | Monitoring | PubSub | Python | Row Level Security | SQL | Service Controls | Spark SQL | VPC Service Controls
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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