Cloud Data Engineer: Build Scalable Pipelines for Fintech

Atome; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Benefits offered by this job

Competitive compensation package

Cross-functional collaboration opportunities

Dynamic industry environment

Job summary

Atome is seeking a highly skilled Data Engineer in Kuala Lumpur to develop and maintain data pipelines for analytics and machine learning. This role involves collaborating with various teams to ensure data availability and quality.

The ideal candidate will have 3-5 years of experience, a degree in a relevant field, and proficiency in SQL and cloud platforms. The position offers a competitive compensation package and opportunities for cross-functional collaboration.

Qualifications

• 3–5 years of experience in data engineering.
• Hands-on experience in large-scale data processing.
• Strong communication skills.

Responsibilities

• Design and maintain scalable ETL/ELT data pipelines.
• Collaborate with Data Science and BI teams.
• Manage batch and streaming data processing frameworks.

Skills

Data processing

SQL

Python or Scala

Cloud services (AWS / GCP / Azure)

ETL/ELT pipeline orchestration

Education

Bachelor’s degree in Computer Science or related fields

Tools

Spark

Kafka

Airflow

Job description

Atome is seeking a highly skilled Data Engineer in Kuala Lumpur to develop and maintain data pipelines for analytics and machine learning. This role involves collaborating with various teams to ensure data availability and quality.

The ideal candidate will have 3-5 years of experience, a degree in a relevant field, and proficiency in SQL and cloud platforms. The position offers a competitive compensation package and opportunities for cross-functional collaboration.