Lead Data Engineer
112265-NJ-MetroPark, Iselin, United States
R
USD 75K Senior-level Full Time
Tasks
- Apply security and governance controls using IAM and VPC SC
- Build reusable ingestion transformation quality and orchestration frameworks
- Define batch and streaming ingestion transformation and serving patterns
- Design scalable secure data platforms on Google Cloud
- Develop shared transformation libraries and data quality routines
- Enable self service data consumption and governance
- Enforce data quality lineage and observability
- Implement data modeling and semantic layers in BigQuery
- Implement orchestration using reusable DAGs and templates
- Optimize cost performance and reliability for GCP data workloads
- Provide documentation runbooks and enablement through workshops
Perks/Benefits
- 401k plan
- Disability benefits
- Hybrid work
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
Skills/Tech-stack
Apache Beam | Autoscaling | Batch Processing | BigQuery | CI/CD | CMEK | Canonical Data | Canonical Data Modeling | Cloud Build | Cloud Composer | Cloud Storage | Cloud Workflows | Cloud platform | Clustering | Column-Level Security | DAGs | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Vault | Data Vault Modeling | Dataflow | Dataproc | Dimensional Modeling | ETL | Git | Google Cloud | Google Cloud Platform | IAM | Java | Monitoring Dashboards | Partitioning | PubSub | Python | Row Level Security | Semantic layer | Spark SQL | Streaming | VPC SC | Vault modeling
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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