Data Engineer, Transplant/DOS
Chicago, IL, United States
USD 75K-102K (estimate) Mid-level Full Time
Tasks
- Administer data systems
- Build analytical solutions
- Collaborate with architecture team on solution design
- Create document and communicate data integration approach
- Define data models and enforce architecture standards
- Deliver data warehouse and analytic solutions
- Design and develop ETL and data pipelines
- Develop complex SQL queries and stored procedures
- Document programming changes and system modifications
- Evaluate data quality and interpret results
- Gather scope requirements and recommend analytical solutions
- Ingest, integrate, and curate data
- Maintain analytics project accountability
- Participate in on-call support
- Provide training and support for analytics tools
Perks/Benefits
Skills/Tech-stack
Agile | Azure Data | Azure Data Factory | Change Data Capture | Crystal Reports | Data Capture | Data Factory | Data Modeling | Data Quality | Data Warehousing | Data pipeline | ETL | Microsoft SSIS | OLAP | Power BI | Python | SQL | SSRS | Stored Procedures | Tableau | Tabular models
Education
Roles
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