Data & AI Engineer
Kuala Lumpur, MY, Malaysia
USD 139K-196K (estimate) Senior-level Full Time
Tasks
- Build and maintain relational and analytical databases
- Build predictive analytics solutions
- Build semantic models and implement DAX measures
- Deliver technical demos and PoCs
- Design and develop Power BI dashboards and reports
- Design and implement modern data architectures
- Design data lineage and impact analysis
- Develop AI and machine learning solutions
- Develop data ingestion and transformation pipelines
- Develop data warehouse schemas
- Develop generative AI analytics experiences
- Implement data governance and security controls
- Optimize database performance and query efficiency
- Provide technical leadership during implementation
- Support post go live delivery and troubleshooting
- Support pre sales technical workshops and demos
- Write and optimize SQL queries
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | Access Control | Apache Spark | Azure AI | Azure AI Services | Azure Data | Azure Data Factory | Azure SQL | Copilot | DAX | Data Classification | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Reconciliation | Data Warehouse | ELT | ETL | Fabric Data Pipelines | Generative AI | Indexing | Lakehouse | Machine Learning | Microsoft Fabric | OneLake | PostgreSQL | Power BI | Predictive Analytics | PySpark | Python | Query Optimization | Role-Based Access | Role-Based Access Control | SQL | SQL Server | Sensitivity Labels | Snowflake Schema | Spark | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Regions
Countries
States
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