Data Engineer, Consultant
Oakland, CA, United States
USD 120K-150K (estimate) Senior-level Full Time
Tasks
- Apply advanced data modeling techniques
- Architect scalable secure highly available data solutions
- Collaborate in agile DevSecOps pod model
- Communicate technical concepts to stakeholders
- Drive operational excellence incident analysis stabilization performance tuning deployment optimization
- Embed data quality testing security observability
- Evolve data engineering standards patterns and frameworks
- Implement optimization for performance reliability and cloud cost management
- Lead design and implementation of data pipelines
- Prepare AI ML ready datasets with reliable governed data
- Provide technical leadership and mentorship through design reviews code reviews
- Translate solution designs into technical architecture
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud Cost Management | Compliance | Cost Management | Data Factory | Data Lake Storage | Data Modeling | Data Quality | Data Security | Data Testing | Data Vault | Data Vault 2.0 | Data Warehousing | DataOps | Databricks | Dimensional Modeling | Distributed Systems | Infrastructure as Code | Observability | Parallel processing | Pipeline Optimization | Privacy | SQL | Snowflake | Synapse Analytics | Tidal | “as-code”
Education
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