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Data Engineer

Early Applicant
  • Posted 6 days ago
  • Be among the first 10 applicants

Job Description

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)

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About Company

Job ID: 151600639

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