Lead Data Engineer
112265-NJ-MetroPark, Iselin, United States
R
USD 224K Senior-level Full Time
Tasks
- Apply security and governance controls with IAM and encryption
- Build reusable ingestion transformation quality and orchestration frameworks
- Define ingestion transformation and serving patterns for batch and streaming
- Design scalable secure data platforms on Google Cloud
- Develop shared transformation libraries in Python SQL and Beam
- Document patterns runbooks and best practices
- Enable self service data consumption with governance by design
- Enforce data quality lineage and observability
- Implement data ingestion frameworks with error handling and schema management
- Implement data modeling and semantic layers in BigQuery
- Optimize cost performance and reliability of data workloads
- Provide orchestration with reusable DAGs and templates
Perks/Benefits
Skills/Tech-stack
Airflow | Apache Beam | Autoscaling | BigQuery | CI/CD | Canonical Data | Canonical Data Model | Cloud Build | Cloud Storage | Cloud Workflows | Cloud platform | Clustering | Column-Level Security | Composer | Customer-managed encryption keys | Data Lineage | Data Model | Data Modeling | Data Quality | Data Vault | Data Vault Modeling | Dataflow | Dataproc | Dimensional Modeling | Encryption Keys | Google Cloud | Google Cloud Platform | IAM | Java | Metrics dashboards | Monitoring | Observability | Partitioning | PubSub | Python | Row Level Security | SQL | 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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