Modern Pipelines: Architect and deploy ingestion pipelines using Azure, Microsoft Fabric, and OneLake to handle any data type (APIs to streams).
Code-Accelerated Dev: Use PySpark, SparkSQL, and .NET alongside AI models to build resilient, automated data lifecycles.
Governance: Set the gold standard for data engineering best practices and governance from day one.
2. Architecture & Modelling
Medallion Logic: Design scalable data architectures based on Medallion and Kimball dimensional modeling within the Fabric ecosystem.
Semantic Excellence: Build and manage high-performance Power BI semantic models (Direct Lake mode) to empower self-service analytics.
Cataloging: Maintain clear data lineage and dictionaries to ensure compliance with global data policies.
3. Insights & Advanced Analytics
Visual Storytelling: Deliver expert-level Power BI dashboards using advanced DAX and robust Row-Level Security (RLS).
Agentic Science: Design predictive and prescriptive ML models natively in Fabric to drive high-impact business outcomes.
Productivity Hacks: Aggressively leverage Copilot and other AI tools to accelerate development speed and output.
4. DevOps & Delivery
Agile Ownership: Translate business needs into technical reality through iterative, agile delivery and close collaboration with Product teams.
Automation-First DevOps: Build and maintain CI/CD pipelines in Azure DevOps; manage code quality through rigorous reviews and automation frameworks.
5. Scaling & Operations
Platform Health: Proactively monitor the data estate for security, capacity, and regulatory compliance.
Performance Tuning: Troubleshoot incidents and relentlessly optimize queries and pipelines for maximum speed and minimum cost.
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1. AI-Driven Data Integration
Modern Pipelines: Architect and deploy ingestion pipelines using Azure, Microsoft Fabric, and OneLake to handle any data type (APIs to streams).
Code-Accelerated Dev: Use PySpark, SparkSQL, and .NET alongside AI models to build resilient, automated data lifecycles.
Governance: Set the gold standard for data engineering best practices and governance from day one.
2. Architecture & Modelling
Medallion Logic: Design scalable data architectures based on Medallion and Kimball dimensional modeling within the Fabric ecosystem.
Semantic Excellence: Build and manage high-performance Power BI semantic models (Direct Lake mode) to empower self-service analytics.
Cataloging: Maintain clear data lineage and dictionaries to ensure compliance with global data policies.
3. Insights & Advanced Analytics
Visual Storytelling: Deliver expert-level Power BI dashboards using advanced DAX and robust Row-Level Security (RLS).
Agentic Science: Design predictive and prescriptive ML models natively in Fabric to drive high-impact business outcomes.
Productivity Hacks: Aggressively leverage Copilot and other AI tools to accelerate development speed and output.
4. DevOps & Delivery
Agile Ownership: Translate business needs into technical reality through iterative, agile delivery and close collaboration with Product teams.
Automation-First DevOps: Build and maintain CI/CD pipelines in Azure DevOps; manage code quality through rigorous reviews and automation frameworks.
5. Scaling & Operations
Platform Health: Proactively monitor the data estate for security, capacity, and regulatory compliance.
Performance Tuning: Troubleshoot incidents and relentlessly optimize queries and pipelines for maximum speed and minimum cost.
...
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experience
5 years
skills
Microsoft Azure, SQL, Python, Microsoft Fabrics, PowerBI
qualifications
Bachelors/Masters in data science, computer science, statistics, actuarial, software engineering, or equivalent
Must be a Malaysian Citizen
education
Bachelor Degree
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