Data Engineer - Azure
Tasks
- Analyze ETL processes
- Analyze categorize and document data sources
- Analyze table indexes for performance
- Build data pipelines using data integration tools
- Create stored procedures and functions
- Design implement materialized views and views
- Design implement test deploy data infrastructure
- Develop dimensional data models
- Optimize SQL stored procedures and jobs
- Perform full data engineering life cycle including support
- Translate reporting requirements into development tasks
- Write and optimize queries for developers guidance
- Write test cases and test scripts for data quality assurance
Perks/Benefits
- 401k plan
- Basic life insurance
- Company contribution
- Dental insurance
- Long-term disability
- Medical insurance
- Paid Holidays
- Paid sick leave
- Paid time off
- Paid volunteer time
- Short-term disability
- Vision insurance
- Wellbeing benefits
Skills/Tech-stack
API Development | Agile | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Warehouse | Azure Fabric | AzureDB | C# | Case Development | Dashboard Development | Data Factory | Data Lake | Data Modeling | Data Pipelines | Data Quality | Data Visualization | Data Warehouse | Data integration | Data quality assurance | Dimensional Modeling | ETL | Functions | Materialized views | Microsoft SQL | Microsoft SQL Server | Power Platform | Project Management | Quality Assurance | Query Optimization | REST | SOAP | SQL | SQL Server | Source Control | Stored Procedures | Test Case | Test case development | Test-Driven | Test-Driven Development | Views
Education
Roles
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