Lead Data Engineer
112265-NJ-MetroPark, Iselin, United States
R
USD 75K Senior-level Full Time
Tasks
- Apply security and governance controls with IAM and encryption
- Build reusable ingestion transformation quality and orchestration frameworks
- Design and implement scalable secure data platforms on Google Cloud
- Design logical and physical data platform architectures
- Develop shared transformation libraries in Python SQL and Apache Beam
- Enable self service data consumption with governance by design
- Enforce data quality lineage and observability
- Implement data modeling and semantic layers in BigQuery
- Implement standardized ingestion transformation and serving patterns for batch and streaming
- Optimize cost performance and reliability of GCP data workloads
- Provide orchestration with reusable DAGs templates and CI CD integration
Perks/Benefits
- 401k plan
- Disability benefits
- Health benefits
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
Skills/Tech-stack
Airflow | Apache Beam | Autoscaling | BigQuery | CI/CD | CMEK | Canonical Data | Canonical Data Modeling | Cloud Build | Cloud Composer | Cloud Monitoring | Cloud Storage | Cloud Workflows | Cloud logging | Cloud platform | Column-Level Security | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault Modeling | Dataflow | Dataproc | Dimensional Modeling | Git | Google Cloud | Google Cloud Platform | IAM | Java | Observability | PubSub | Python | Row Level Security | SQL | Spark SQL | VPC SC | Vault modeling
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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