Lead Data Engineer
112265-NJ-MetroPark, Iselin, United States
R
USD 224K Senior-level Full Time
Tasks
- Build reusable ingestion transformation quality and orchestration frameworks
- Contribute to platform roadmap tool evaluation and modernization
- Define reusable ingestion transformation and serving blueprints
- Design data platform architectures using BigQuery Dataflow Dataproc PubSub and Cloud Storage
- Design scalable secure data platforms on Google Cloud
- Develop config driven data ingestion frameworks with error handling
- Develop shared transformation libraries in Python SQL and Beam
- Enable self service data consumption with governance by design
- Enforce data quality lineage and observability with monitoring dashboards
- Implement orchestration using Cloud Composer or Cloud Workflows with reusable templates
- Implement security and governance controls using IAM and encryption
- Optimize cost performance and reliability of GCP data workloads
- Provide documentation runbooks and enablement for platform adoption
Perks/Benefits
Skills/Tech-stack
Apache Airflow | Apache Beam | BigQuery | CI/CD | Cloud Build | Cloud Composer | Cloud Key Management Service | Cloud Storage | Cloud Workflows | Cloud key management | Cloud platform | Column-Level Security | Dataflow | Dataproc | Google Cloud | Google Cloud Platform | IAM | Java | Key Management Service | 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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