Data Engineer Kuala Lumpur •
K3 Capital GroupKuala Lumpur, Kuala Lumpur, Malaysia30+ hari lalu
Penerangan pekerjaan4+ years in modern data engineering with cloud platforms Strong SQL and Python / Scala for data transformation Experience with Azure Data Factory / Fabric / Databricks Data governance and PII handling expertise Version-controlled ETL / ELT pipeline development Data freshness > Data quality score ≥98% on critical fields New connectors delivered within agreed SLAs (≤10 days)
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
Success Measures
95% on priority datasets
Salary Range
RM 110,000 - 172,000 per year + competitive benefits package
Location : Kuala Lumpur, Malaysia (Hybrid working model)
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