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Global Data Engineer - Scale data pipelines & analytics

VAT Group AG

Kampung Sekolah Simpang Ampat

On-site

MYR 80,000 - 120,000

Full time

30+ days ago

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Job summary

A leading technology provider is seeking a Data Engineer in Penang, Malaysia. The role involves building and maintaining the data infrastructure crucial for analytics and business intelligence. Applicants should have at least 3 years of experience in data engineering, a degree in a relevant field, and proficiency in programming languages such as Python and SQL. The successful candidate will integrate disparate data sources and optimize data storage for performance and scalability while working with a diverse global team.

Benefits

Career and personal development opportunities
Training programs
Diverse workplace environment

Qualifications

  • Minimum 3 years of experience in Data Engineering focused on data infrastructure.
  • Strong experience in building and maintaining data pipelines.
  • Solid understanding of data integration and consistency.

Responsibilities

  • Develop and maintain robust and scalable data pipelines.
  • Integrate data from multiple sources ensuring reliability and alignment.
  • Design and manage data storage solutions like data lakes.

Skills

Data pipeline construction and maintenance
Data integration from multiple sources
Data storage solution design
Proficiency in Python
Proficiency in SQL
Problem-solving skills
Fluency in English

Education

Bachelor’s degree in Computer Science, Information Systems, or related field

Tools

Microsoft Fabric
Azure Synapse Analytics
CI/CD practices
Job description
A leading technology provider is seeking a Data Engineer in Penang, Malaysia. The role involves building and maintaining the data infrastructure crucial for analytics and business intelligence. Applicants should have at least 3 years of experience in data engineering, a degree in a relevant field, and proficiency in programming languages such as Python and SQL. The successful candidate will integrate disparate data sources and optimize data storage for performance and scalability while working with a diverse global team.
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