Data Engineer: Flexible Hours on Scalable Data Platforms

Techstreet Malaysia; Kuala Lumpur; On-site; MYR 67,000 - 134,000; Full time

Benefits offered by this job

Health Insurance

Dental Coverage

Flexible Hours

Job summary

Techstreet Malaysia is seeking a skilled Data Engineer to design, build and manage the data & systems infrastructure in Kuala Lumpur. You will ensure data is organized, accessible and secure, enabling data-driven decisions by integrating data with various systems.

Responsibilities include modeling, warehouse development, cross-source integration, data quality assurance, and close collaboration with business users and IT teams to deliver effective solutions.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or related field is required.
• 2+ years of experience in database engineering or database management.
• Strong understanding of data architecture, data modelling and operating technologies.
• Experience with database technologies (SQL Server, Oracle, MySQL).
• Proficiency in programming languages such as Python, Java, or Scala.
• Knowledge of data warehousing principles and best practices.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.

Responsibilities

• Design and implement data models to support business processes.
• Develop and maintain a scalable data warehouse infrastructure.
• Integrate data from multiple sources to create a unified view.
• Ensure data quality and integrity through validation and cleaning processes.
• Collaborate with business users and IT teams to deliver data solutions.

Skills

Analytical thinking

Communication

Interpersonal skills

Problem-solving

Education

Bachelor's degree in CS/IS or related field

Tools

SQL

Oracle

MySQL

Python

Java

Scala

Data warehousing

Data modelling

Job description

Techstreet Malaysia is seeking a skilled Data Engineer to design, build and manage the data & systems infrastructure in Kuala Lumpur. You will ensure data is organized, accessible and secure, enabling data-driven decisions by integrating data with various systems.

Responsibilities include modeling, warehouse development, cross-source integration, data quality assurance, and close collaboration with business users and IT teams to deliver effective solutions.