Role Purpose
Build and maintain reliable ELT pipelines, data models, and data products powering analytics and AI across all K3 brands. Enable data- driven decision making through high-quality, secure data access.
Key Responsibilities
- Develop ELT pipelines from SaaS / ERP systems to Azure Data Lake / Synapse
- Design and implement data models (star / medallion) with semantic layers
- Implement data quality rules, lineage tracking, and security controls
- Optimize performance and manage schema evolution with CDC
- Support cross-brand data integration while maintaining data segregation
Preferable Experience
4+ years in modern data engineering with cloud platformsStrong SQL and Python / Scala for data transformationExperience with Azure Data Factory / Fabric / DatabricksData governance and PII handling expertiseVersion-controlled ETL / ELT pipeline developmentSuccess Measures
Data freshness >95% on priority datasets
Data quality score ≥98% on critical fieldsNew connectors delivered within agreed SLAs (≤10 days)Salary Range
RM 110,000 - 172,000 per year + competitive benefits package
Location : Kuala Lumpur, Malaysia (Hybrid working model)
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