Data Engineer - Flexible Work & High-Impact Pipelines

JobCubby

Malaysia

On-site

MYR 120,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Medical benefits and insurance
Flexible work arrangement
Wellness programmes

Job summary

AirAsia is seeking a Data Engineer to ensure data integrity and to build scalable data pipelines that support Product, Business and Analytics teams. The role involves working with Python/SQL, cloud services, and containerized environments to deliver reliable data transformations and insights.

You will engage with big data tools and modern data platforms, contributing to data-driven decision making in a fast-paced airline analytics setting.

Qualifications

  • BS/MS/PhD in IT, Mathematics, Science or Engineering with up to 2+ years experience.
  • Experience with Python, R, Java, C/C++, or Scala.
  • Familiar with data ETL and various data sources.
  • Experience with SQL and NoSQL databases.
  • Experience with pipeline/workflow management tools.
  • Experience with messaging/stream processing.
  • Experience with object-oriented scripting.
  • Familiar with containerisation/orchestration and cloud services.

Responsibilities

  • Ensures the data integrity and quality.
  • Develop, maintain and optimize data pipelines.
  • Collaborate with Product, Business and Analytics teams to resolve data issues and support data transformation needs.

Skills

Python
R
Java
C/C++
Scala
SQL
NoSQL
ETL
data pipelines
pipeline tooling
distributed computing
Big data tools
cloud platforms
GCP
AWS
Azure
containerisation
Kubernetes
Git
Jira
Confluence
documenting code

Education

BS/MS/PhD in IT/Mathematics/Science/Engineering

Tools

SQL
NoSQL

Job description

AirAsia is seeking a Data Engineer to ensure data integrity and to build scalable data pipelines that support Product, Business and Analytics teams. The role involves working with Python/SQL, cloud services, and containerized environments to deliver reliable data transformations and insights.

You will engage with big data tools and modern data platforms, contributing to data-driven decision making in a fast-paced airline analytics setting.

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