Data Engineer
Tasks
- Automate reporting and insight generation evaluation
- Build attributes and hierarchies
- Build reusable semantic models
- Create dossiers and interactive visualizations
- Create schema objects
- Design BI solutions
- Design Star Schema models
- Design logical and physical data models
- Design snowflake schema models
- Develop AI agents for conversational analytics
- Develop BI applications
- Develop ETL pipelines
- Develop facts and metrics
- Enable AI driven analytics for users
- Implement MicroStrategy features
- Implement Slowly Changing Dimensions
- Implement advanced reports and dashboards
- Implement fact and dimension modeling
- Monitor and optimize MicroStrategy reports dashboards and cubes
- Monitor and troubleshoot ETL jobs
- Optimize semantic layer performance
- Perform root cause analysis and implement improvements
- Support production BI environments
- Support user issue resolution
- Translate business requirements into scalable BI solutions
- Troubleshoot performance issues
- Tune query performance
- Validate and reconcile data
- Write complex SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
Access Management | Amazon Redshift | Azure | Azure Data | Azure Data Factory | Azure Synapse | BI governance | Common table expressions | Data Factory | Data Warehousing | Databricks | Dimensional Modeling | ETL | Informatica | Joins | Matillion | MicroStrategy ONE | Microstrategy | NumPy | Oracle | Pandas | PySpark | Python | Query Optimization | Requests | SQL | SQL Server | Security | Slowly Changing Dimensions | Snowflake | Snowflake Schema | Star Schema | Stored Procedures | Strategy AI | Window Functions
Education
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