Data Management and Analytics Engineer
Tasks
- Automate ETL pipelines
- Build machine learning algorithms
- Build statistical models
- Collaborate with business analysts and data scientists
- Create dashboards and visualizations
- Design data pipelines using SAS
- Develop SAS programming solutions
- Develop reports and presentations
- Document technical specifications
- Implement data quality frameworks
- Implement data security protocols
- Maintain SAS code libraries
- Mentor team members
- Migrate legacy data to SAS Viya cloud
- Optimize data warehouse architecture
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure | Base SAS | Data Governance | Data Integration Studio | Data Quality | Data Security | Data Visualization | Data Warehousing | Database optimization | Dimensional Modeling | ETL | Enterprise Guide | Enterprise Miner | Git | Hadoop | Integration Studio | Machine Learning | Microsoft SQL | Microsoft SQL Server | NoSQL | Oracle | PostgreSQL | Power BI | Python | R | SAS | SAS Data Integration | SAS Data Integration Studio | SAS Enterprise | SAS Enterprise Guide | SAS Enterprise Miner | SAS Macros | SAS SQL | SAS Visual | SAS Visual Analytics | SAS Viya | SQL | SQL Server | Statistical modeling | Tableau | Visual analytics
Education
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