Data and Analytical Engineer (Snowflakes)

Data & Analytical Engineer (Snowflakes, Manufacturing domain):

Location: Penang, Malaysia

Mode: 1 Year Contract, potentially extendable

Number of Positions: 2

Years of experience: 2+ yrs

Monthly Salary range: MYR 7000-11000 (depends on experience level)

Availability: 1 - 4 weeks

Interview rounds: 1 or 2

Job Summary

We are seeking a skilled Data & Analytical Engineer with a strong background in manufacturing data systems. The ideal candidate will have hands-on experience with Microsoft data tools and modern cloud data platforms, along with exposure to semiconductor processes (preferred). This role involves designing, developing, and maintaining scalable data solutions to support analytics and reporting needs.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes.
  • Build and optimize data models using MSSQL , SSAS , and Snowflake .
  • Develop and maintain reports and dashboards using SSRS .
  • Implement data transformation workflows using dbt (data build tool) .
  • Collaborate with business stakeholders to understand reporting and analytics requirements.
  • Ensure data quality, integrity, and performance optimizat]ion across systems.
  • Support manufacturing analytics, including production, quality, and supply chain data.
  • Work with large datasets to derive actionable insights for business decision-making.
  • Troubleshoot and resolve data-related issues.
Required Skills & Qualifications
  • Strong experience with:
  • Microsoft SQL Server (MSSQL)
  • SQL Server Reporting Services (SSRS)
  • SQL Server Analysis Services (SSAS)
  • Hands-on experience with:
  • Snowflake
  • dbt
  • Proficiency in SQL and data modeling techniques.
  • Experience in building ETL/ELT pipelines.
  • Solid understanding of data warehousing concepts.
Preferred Qualifications
  • Experience in manufacturing environments (mandatory).
  • Exposure to semiconductor domain (good to have).
  • Familiarity with production systems, MES data, and factory analytics.
  • Experience with cloud platforms and modern data stack.
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