Specialist Data Engineer & AI
Tasks
- Build data models and data products
- Collect integrate and transform structured and unstructured data
- Create executive-level reports
- Define and monitor quality performance indicators
- Design data pipelines
- Develop dashboards and KPI frameworks
- Develop end to end analytics solutions from ingestion to consumption
- Develop, deploy and monitor machine learning models
- Drive data-driven decision-making adoption
- Ensure data reliability availability scalability performance
- Identify trends anomalies and root causes
- Implement data governance and data quality initiatives
- Lead stakeholder workshops for analytics and AI use cases
- Perform predictive analytics and statistical analysis
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Data Governance | Data Lineage | Data Management | Data Modeling | Data Quality | Data Warehousing | DataOps | Database technologies | ELT | ETL | Generative AI | Google Cloud | LLM integration | Language Models | Large Language Models | MLOps | Machine Learning | Master Data | Master Data Management | Power BI | Predictive Analytics | Python | SQL | Statistical Analysis
Education
Roles
AI | AI Specialist | Data Engineer | Engineer | Specialist
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