Data and Analytics AI Engineer
Tulsa Main Office, United States
USD 119K-258K (estimate) Senior-level Full Time
Tasks
- Architect relational database environments
- Build data models
- Build self service BI capabilities
- Conduct architecture and governance reviews
- Create data lineage documentation
- Define KPIs and gather requirements
- Design data pipelines
- Develop ETL/ELT processes
- Develop enterprise dashboards
- Develop reporting and dashboards
- Develop system integrations
- Develop technical documentation and runbooks
- Ensure database security and availability
- Implement automation workflows
- Implement identity and access management
- Implement security and compliance controls
- Lead data migration
- Mentor analysts and engineers
- Monitor and support integrations
- Optimize ETL ELT for ingestion and transformation
- Optimize database performance and reliability
- Optimize datasets and semantic models
- Recommend AI automation opportunities
- Support AI and machine learning solutions
- Support Azure Data platform
- Support Microsoft Fabric
- Support generative AI solutions
- Translate requirements into specifications
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Access Management | Azure | Azure Cognitive | Azure Cognitive Services | Azure Data | Azure Data Factory | Azure DevOps | Azure OpenAI | CI/CD | CRM Integrations | Cognitive Services | Data Factory | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Database Administration | ELT | ERP Integrations | ETL | Generative AI | Git | Identity and Access Management | Identity and access | Machine Learning | Microsoft Dynamics | Microsoft Fabric | Power Automate | Power BI | Power Platform | PySpark | Python | Retrieval-Augmented Generation | SOX Compliance | SQL Server | SSRS | Semantic Modeling | Spark | T-SQL | Tableau
Education
N/A
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