Data Engineer
Summary
Build and maintain ELT pipelines and data models in Azure to power analytics and AI across K3 brands, ensuring high-quality, secure data access.
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 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
Success Measures
- Data freshness >95% on priority datasets
- Data quality score ≥98% on critical fields
- New 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)