Risk Data Engineer: Scalable Pipelines & AI-Ready Data

Hytech Consulting Management; Kuala Lumpur; On-site; MYR 70,000 - 90,000; Full time

Job summary

A leading data consulting firm is seeking a Data Engineer skilled in cloud-based data platforms to design scalable data pipelines. Responsibilities include developing ETL processes, collaborating with teams to model data, and ensuring data quality. The ideal candidate has 3-5 years' experience in data engineering, strong SQL skills, and cloud platform knowledge. Competitive package offered in a fast-paced environment.

Benefits

Competitive compensation package

Cross-functional collaboration opportunities

Dynamic industry environment

Qualifications

• 3–5 years of experience in data engineering or backend engineering.
• Hands-on experience in large-scale data processing.
• Strong proficiency in SQL and experience with Python or Scala.

Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Collaborate with various teams for data modeling.
• Implement and maintain data quality monitoring.

Skills

Data processing

SQL

Python

Scala

Cloud computing

Data modeling

ETL/ELT orchestration

Data governance

Collaboration

Education

Bachelor’s degree in Computer Science or related fields

Tools

AWS

GCP

Azure

Spark

Flink

Kafka

Airflow

dbt

Dagster

Job description

A leading data consulting firm is seeking a Data Engineer skilled in cloud-based data platforms to design scalable data pipelines. Responsibilities include developing ETL processes, collaborating with teams to model data, and ensuring data quality. The ideal candidate has 3-5 years' experience in data engineering, strong SQL skills, and cloud platform knowledge. Competitive package offered in a fast-paced environment.