Data Engineer, Principal
Oakland, CA, United States
USD 133K-165K (estimate) Senior-level Full Time
Tasks
- Apply DevOps and DataOps best practices including CI CD automated testing and monitoring
- Apply advanced data modeling using Data Vault 2 0 dimensional and domain oriented models
- Build and optimize data solutions on cloud platforms
- Collaborate using agile methodologies
- Design and scale high performance data platforms
- Engineer ELT and ETL solutions for structured and semi structured data
- Identify performance bottlenecks and reliability risks
- Implement cloud data lakes data warehouses and data marts
- Implement data quality validation observability lineage and governance
- Lead design development and implementation of scalable data pipelines
- Provide technical leadership and mentorship
- Support AI ML ready data assets
Perks/Benefits
- N/A
Skills/Tech-stack
Automated testing | Azure Synapse | Azure Synapse Analytics | Bitbucket | CI/CD | DBT | Data Governance | Data Lake | Data Lineage | Data Management | Data Mart | Data Modeling | Data Observability | Data Privacy | Data Quality | Data Vault | Data Vault 2 | Data Vault 2 0 | Data Warehouse | Data integration | Data privacy and security | DataOps | Databricks | DevOps | Dimensional Modeling | ELT | ETL | Git | Infrastructure as Code | Jira | Lakehouse Architecture | Master Data | Master Data Management | Monitoring and Alerting | NoSQL | Privacy and Security | Python | SQL | Snowflake | Source Control | Synapse Analytics | “as-code”
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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