Principal Data Engineer (Hybrid)
Tasks
- Build and maintain data pipelines
- Design build own end to end data platform architecture
- Establish engineering standards
- Evaluate emerging technologies and recommend adoption
- Integrate enterprise source systems into centralized platform
- Provide technical mentorship and code review
Perks/Benefits
- 401k match
- Dental insurance
- Education assistance
- Employee/family focused culture
- Employer-paid health insurance
- Flexible spending account
- Gym on-site
- Health savings account
- Vision insurance
- Work-life balance
Skills/Tech-stack
API Management | Apache Spark | Azure | Azure API | Azure API Management | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure SQL | Data Factory | Data Lake Storage Gen2 | Data Lakehouse | Dataflows Gen2 | Delta Lake | Delta Sharing | EventStream | KQL | Kusto Query | Kusto Query Language | Microsoft Fabric | Microsoft Purview | Notebooks | PySpark | Python | Query Language | SQL | Semantic models
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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