Data Engineer II
Tasks
- Build Power BI datasets and semantic models
- Build and optimize data models for analytics
- Create Python frameworks for automation and data transformation
- Design enterprise ETL ELT pipelines
- Develop data pipelines for AI and machine learning initiatives
- Develop scalable cloud-native data solutions
- Improve data quality governance monitoring and security
- Mentor junior data engineers through code reviews
- Monitor production environments and resolve pipeline and performance issues
- Participate in data platform architecture discussions
- Support Azure SQL Database Synapse Analytics and Microsoft Fabric
- Write SQL queries stored procedures and tune performance
Perks/Benefits
- 401k with company match
- Career advancement
- Employee assistance program
- Life insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid time off
- Professional development opportunities
Skills/Tech-stack
AI Services | Azure AI | Azure AI Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure DevOps CI/CD | Azure Devops CI | Azure Machine Learning | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Factory | Data Lake Storage Gen2 | Data Warehouse | Databricks Workflows | Delta Lake | DevOps CI/CD | Dimensional Modeling | ELT | ETL | Git | MLflow | Machine Learning | Microsoft Fabric | Power BI | PySpark | Python | REST APIs | SQL | SQL Database | Synapse Analytics | T-SQL | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Systems | Bachelor of Science in Software Engineering
Roles
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