Google Cloud Lead Data Engineer (GCP)
Tasks
- Apply cloud security best practices with IAM
- Automate data validation and testing
- Build and maintain data pipelines
- Build data models with dimensional modeling and data vault
- Create documentation and architectural diagrams
- Design ETL/ELT pipelines
- Develop batch and streaming data processing
- Gather requirements and create technical designs
- Implement data quality frameworks
- Implement data solutions with GCP services
- Implement monitoring and cost management
- Manage data versioning governance and lineage
- Optimize pipeline performance cost and scalability
- Provide technical guidance and best practices
- Use Unity Catalog or Data Catalog for governance
Perks/Benefits
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plans
Skills/Tech-stack
Apache Spark | Automated testing | Azure DevOps | BigQuery | CI/CD | Cloud Composer | Cloud Storage | Cloud platform | DBT | Data Architecture | Data Catalog | Data Governance | Data Modeling | Data Quality | Data Vault | Data Warehousing | Databricks | Dataflow | Dataproc | Delta Lake | Dimensional Modeling | Distributed Systems | ELT | ETL | GCP Data | GCP Data Catalog | GitHub | GitLab | Google Cloud | Google Cloud Platform | Great Expectations | IAM | Infrastructure as Code | PySpark | Python | SQL | Spark Streaming | Terraform | Unity Catalog | Vertex AI | “as-code”
Education
N/A
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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