Lead Data Engineer - GCP Platform Services & Frameworks
112265-NJ-MetroPark, Iselin, United States
USD 224K Senior-level Full Time
Tasks
- Build reusable data engineering frameworks
- Contribute to platform roadmap and tooling
- Design GCP data pipelines
- Develop Python and SQL transformation libraries
- Document patterns runbooks and best practices
- Enforce data quality lineage and observability
- Implement data modeling and semantic layers in BigQuery
- Optimize cost and performance of GCP data workloads
- Orchestrate pipelines with Cloud Composer or Cloud Workflows
- Partner with teams to onboard data use cases
Perks/Benefits
- 401k plan
- Disability benefits
- Health benefits
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Tuition scholarships
Skills/Tech-stack
APIs | Agile | Airflow | Apache Beam | Autoscaling | BigQuery | CI/CD | Canonical Data | Canonical Data Modeling | Cloud Build | Cloud Composer | Cloud Monitoring | Cloud Storage | Cloud Workflows | Cloud logging | Cloud platform | Clustering | DAGs | Data Federation | Data Ingestion | Data Lineage | Data Modeling | Data Quality | Data Vault | Data Vault Modeling | Data masking | Dataflow | Dataproc | Dimensional Modeling | ELT | ETL | Error Reporting | Git | Google Cloud | Google Cloud Platform | Knowledge graphs | Observability | Orchestration | Partitioning | Pub/Sub | Python | SCD | SQL | Secure Data | Secure Data Federation | Semantic Search | Star Schema | Starburst | Tokenization | Trino | Vault modeling
Education
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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