Job opening - Senior Data Engineer [Up to RM15k] in Kuala Lumpur | Randstad

summary

kuala lumpur, wilayah persekutuan
permanent
full-time

job category
information technology

job details

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.

show more

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.

...

show more

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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