Data Science Engineer
USD 120K-176K (estimate) Senior-level Full Time
Tasks
- Automate manual reporting processes
- Build AI agent integrations
- Build semantic models
- Create reusable business metrics
- Design AI powered analytics workflows
- Design Power BI dashboards
- Develop AI ready semantic layers
- Develop ETL/ELT pipelines
- Develop KPI frameworks
- Document business rules and data definitions
- Ensure data quality and governance
- Evaluate validate and monitor AI insights
- Facilitate requirements gathering
- Implement Self-Service Analytics
- Integrate analytics across enterprise systems
- Lead solution reviews and demos
- Maintain dimensional data models
- Perform data validation and testing
- Support UAT and stakeholder training
- Translate business requirements into analytics solutions
Perks/Benefits
- Employee assistance program
- Employee resource groups
- Free virtual English course
- LTD
- Life insurance
- Medical/Dental/Vision insurance
- Paid Holidays
- Professional development
- STD
- Training
- Work from home
Skills/Tech-stack
AI Governance | AI Security | AI Testing | Agile | Azure Synapse | Azure Synapse Analytics | BI Copilot | Cortex Analyst | DAX | Data Governance | Data Lineage | Data Modeling | Data Quality | Databricks | Dimensional Modeling | ELT | ETL | GitHub Copilot | LLM | Language Models | Language Processing | Large Language Models | Microsoft Copilot | Microsoft Fabric | Natural Language | Natural Language Processing | Power BI | Power BI Copilot | Prompt engineering | SQL | Scrum | Semantic Modeling | Snowflake | Snowflake Cortex | Snowflake Cortex Analyst | Snowflake Schema | Star Schema | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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