Senior Data Manager-Databricks
Tasks
- Acquire data
- Clean data
- Conduct root cause analysis
- Coordinate with teams for data requirements
- Create visualizations
- Define data architecture
- Deliver project code reviews
- Deploy data solutions
- Derive business insights
- Develop ETL solutions
- Develop data lifecycle processes
- Develop datasets
- Develop stored procedures
- Document processes
- Perform in-depth data analysis
- Prepare data for reporting
- Protect data
- Store data
- Translate business needs to data requirements
- Validate data quality
- Write dynamic SQL
Perks/Benefits
- 401k matching
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Short-term disability
- Work from home support
Skills/Tech-stack
Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Cause analysis | Cloud Computing | Data Architecture | Data Factory | Data Lake | Data Lifecycle Management | Data Modeling | Data Warehouse | Data lifecycle | Databricks | Dimensional data | Dimensional data modeling | Dynamic SQL | ETL | Lifecycle Management | Power Apps | Power Automate | Power BI | Root Cause Analysis | Root cause | SQL | SSIS | SSMS | Snowflake | Stored Procedures | Synapse Analytics
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
Analyst | Architect | Data Analyst | Data Architect | Data Manager | Manager
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