Data Engineer
USD 119K-192K (estimate) Senior-level Full Time
Tasks
- Build and manage data warehouse schemas models processes
- Design, develop, maintain ETL/ELT pipelines
- Establish enforce data quality standards data governance and documentation
- Evaluate and integrate emerging data technologies
- Monitor troubleshoot data pipelines resolve issues
- Optimize T-SQL queries stored procedures and database objects
- Participate in code reviews and architectural design discussions
- Transform raw data into usable formats
Perks/Benefits
- 401k match
- Employee discounts
- Employee recognition
- Employee referral bonus
- Employee stock purchase plan
- Flexible spending accounts
- Life insurance
- Long-term disability insurance
- Medical dental vision prescription drug coverage
- Paid Holidays
- Paid parental leave
- Paid time off
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
Agile | Analysis Services | Anomaly Detection | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure DevOps | Azure Event | Azure Event Hubs | Azure SQL | Azure SQL Database | Azure Service | Azure Service Bus | C# | CI/CD | Data Factory | Data Lineage | Data Marts | Data Warehouse | Data Warehousing | Dimensional Modeling | Enterprise Data | Enterprise data warehouse | Event Hubs | Forecasting | Git | Incremental loading | Inman Methodology | Kimball methodology | Machine Learning | Microsoft Fabric | Microsoft Power | Microsoft Power BI | Microsoft Purview | Power BI | Python | Query Optimization | Real Time | Real-time Data | SCD | SQL Database | SQL Query Optimization | SQL Server | SQL query | SSIS | Scrum | Service Bus | Slowly Changing Dimensions | Star Schema | Stored Procedures | Streaming | T-SQL | Tabular models | Third Normal Form
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Engineering Technology | Bachelor of Information Systems | Bachelor of Science
Roles
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