Sales Data Engineer: Build Scalable Pipelines for Revenue

ON Semiconductor Malaysia Sdn. Bhd.

Selangor

On-site

MYR 120,000 - 180,000

Full time

5 days ago
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Job summary

onsemi Malaysia is seeking a Data Engineer to design, maintain, and scale sales data pipelines and analytics, partnering with Sales Operations, IT, and Analytics to improve data quality and deliver timely insights for decision making.

You will work with Snowflake and SQL Server, use DBT and GitLab for version control, and develop robust data models and ETL/ELT processes to support reporting.

4–7 years of experience in Data Engineering, solid SQL skills, and a passion for data quality are expected.

Qualifications

  • 4–7 years of data engineering, database development, or related experience.
  • Hands-on experience with Snowflake and Microsoft SQL Server.
  • Proven DBT experience for data transformation and modeling.
  • Experience using GitLab for version control and deployment.
  • Strong SQL development skills and knowledge of ETL/ELT.
  • Understanding of modern data architectures and data quality practices.

Responsibilities

  • Design, develop, maintain, and optimize data pipelines and ETL/ELT processes using modern data engineering practices.
  • Build and maintain robust data models using DBT following best practices and standards.
  • Develop high-quality, reusable SQL code for data transformation, integration, and reporting.
  • Support data migration, integration, and modernization initiatives involving Snowflake and SQL Server.
  • Ensure data quality, consistency, and reliability across all data assets.
  • Collaborate with team members to maintain deployment standards and ensure solution quality.
  • Independently investigate, diagnose, and resolve complex data pipeline and database issues.
  • Proactively identify opportunities for automation, performance optimization, and process improvements.

Skills

SQL Development
Data Modeling
ETL/ELT
Snowflake
MS SQL Server
DBT
GitLab
Data Quality
Analytics Collaboration

Tools

Snowflake
Microsoft SQL Server
DBT
GitLab

Job description

onsemi Malaysia is seeking a Data Engineer to design, maintain, and scale sales data pipelines and analytics, partnering with Sales Operations, IT, and Analytics to improve data quality and deliver timely insights for decision making.

You will work with Snowflake and SQL Server, use DBT and GitLab for version control, and develop robust data models and ETL/ELT processes to support reporting.

4–7 years of experience in Data Engineering, solid SQL skills, and a passion for data quality are expected.

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