Data Engineer II
Tasks
- Architect and optimize data models
- Build and maintain ETL/ELT processes
- Design scalable data pipelines
- Develop and optimize distributed data processing workflows
- Develop curated data products
- Document pipelines processes and architecture
- Enforce data security compliance and role based access control
- Ensure data quality integrity governance
- Implement data ingestion frameworks
- Implement data validation observability and documentation
- Integrate and transform enterprise data
- Monitor, troubleshoot, and optimize data workflows
- Support lakehouse architecture in Microsoft Fabric
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance coverage
- Life insurance
- Paid Holidays
- Paid time off
- Short term disability coverage
- Training and development
- Vision insurance
- Work-life balance
Skills/Tech-stack
Access Control | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Management | Data Quality | Data Warehousing | Delta Lake | Dimensional Modeling | ELT | ETL | Git | Lakehouse | Microsoft Fabric | Power BI | Power BI Datasets | PySpark | Python | Role-Based Access | Role-Based Access Control | SQL | Semantic Modeling | Synapse Analytics | T-SQL
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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