Senior Data Engineer
112265-NJ-MetroPark, Iselin, United States
R
USD 196K Senior-level Full Time
Tasks
- Apply security and governance controls with IAM and encryption
- Build reusable ingestion transformation quality and orchestration frameworks
- Build shared transformation libraries in Python SQL and Apache Beam
- Define ingestion transformation and serving patterns for batch and streaming
- Design and implement scalable secure data platforms on Google Cloud
- Develop config driven ingestion pipelines and data error handling
- Document patterns runbooks and best practices
- Enable self service data consumption and governance
- Enforce data quality lineage and observability
- Implement data modeling and semantic layers in BigQuery
- Optimize cost performance and reliability of GCP data workloads
- Partner with data engineering analytics and ML teams to onboard use cases
- Provide orchestration using reusable DAGs and templates
Perks/Benefits
- Adoption reimbursement
- Commuter benefits
- Critical caregiving leave
- Disability benefits
- Discounts and savings
- Life insurance
- Paid time off
- Parental leave
- Tuition reimbursement
- Tuition scholarships for dependent children
Skills/Tech-stack
Agile | Airflow | Apache Beam | Apache Spark | Autoscaling | BigQuery | CI/CD | CMEK | Canonical Data | Canonical Data Modeling | Cloud Build | Cloud Composer | Cloud KMS | Cloud Monitoring | Cloud Storage | Cloud Workflows | Cloud logging | Cloud platform | Clustering | Column-Level Security | Data Lineage | Data Modeling | Data Quality | Data Vault | Dataflow | Dataproc | Dimensional Modeling | Google Cloud | Google Cloud Platform | IAM | Java | Monitoring Dashboards | Observability | Partitioning | PubSub | Python | Row Level Security | SQL | Semantic layers | Service Controls | Spark SQL | VPC Service Controls
Education
N/A
Roles
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