Lead Data Engineer
USD 75K Senior-level Full Time
Tasks
- Apply security and governance controls
- Build reusable ingestion transformation and orchestration frameworks
- Design scalable secure data platforms on Google Cloud
- Develop shared transformation libraries
- Document patterns runbooks and best practices
- Enable self service data consumption with governance
- Enforce data quality lineage and observability
- Implement batch and streaming ingestion patterns
- Implement orchestration with reusable templates and DAGs
- Optimize cost performance and reliability of data workloads
- Partner to onboard analytics and ML use cases
Perks/Benefits
- 401k matching
- Adoption reimbursement
- Commuter benefits
- Disability benefits
- Discounts and savings
- Hybrid work schedule
- Life insurance
- Paid time off
- Parental leave
- Scholarships for dependent children
- Tuition reimbursement
Skills/Tech-stack
Apache Airflow | Apache Beam | Autoscaling | BigQuery | CI/CD | Cloud Build | Cloud Composer | Cloud Dataflow | Cloud Key Management Service | Cloud PubSub | Cloud Storage | Cloud Workflows | Cloud key management | Cloud platform | Column-Level Security | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault Modeling | Dataproc | Dimensional Modeling | Error Handling | Google Cloud | Google Cloud Platform | IAM | Java | Key Management Service | Monitoring | Observability | Python | Row Level Security | SQL | Semantic layer | Service Controls | Spark SQL | VPC Service Controls | Vault modeling
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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