Lead Tech Business Mgmt - AI Data Engineer
Tasks
- Build and consume REST APIs
- Build dashboards and reports
- Build scalable data pipelines
- Create automation workflows
- Create self-service analytics
- Define KPIs and success metrics
- Design data integrations
- Design data models
- Develop middleware and connectors
- Ensure data quality governance security lineage
- Evaluate new tools and platforms
- Integrate AI services and LLMs
- Optimize data processing performance
- Perform ETL and ELT
- Prepare and transform data for machine learning
- Recommend AI use cases
- Support AI model deployment
- Troubleshoot integration issues
Perks/Benefits
- 401k plan
- Adoption reimbursement
- Disability benefits
- Employee assistance programs
- Employee discounts
- Life insurance
- Long-term disability
- Medical, dental & vision coverage
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Short-term disability
- Tuition reimbursement
- Wellness programs
Skills/Tech-stack
AI APIs | API | AWS | Automation | Azure | C# | CI/CD | Cloud Computing | Data Lakehouse | Data Modeling | Data Pipelines | Data Warehousing | Databricks | DevOps | ELT | ETL | Event Driven | Event-driven architecture | Generative AI | Git | Google Cloud | Java | JavaScript | Language Models | Large Language Models | Looker | MLOps | Machine Learning | Microsoft Fabric | Power BI | Prompt engineering | Python | RAG | REST | Retrieval-Augmented Generation | SQL | Snowflake | Synapse | Tableau | TypeScript | Workflow Orchestration
Education
N/A
Roles
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