Data Engineer: Build Scalable Pipelines & Data Warehouses

Raizon Consulting Sdn. Bhd; Malaysia; On-site; MYR 70,000 - 90,000; Full time

Job summary

A consulting firm in Malaysia is seeking a highly motivated Data Engineer to design, build, and maintain data infrastructure. Ideal candidates will have a Bachelor’s degree and 3-5 years of experience in data engineering, with proficiency in SQL, NoSQL, and programming languages like Python or Java. Fresh graduates are encouraged to apply for this critical role in optimizing data management systems.

Qualifications

• Minimum of 3–5 years of experience in data engineering or related roles.
• Experience with managing databases and building scalable data architectures.
• Fresh graduates are encouraged to apply.

Responsibilities

• Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.
• Design and implement efficient, scalable ETL processes.
• Ensure data quality and integrity through data governance frameworks.
• Collaborate with data scientists and analysts to understand data needs.
• Optimize and tune data systems for end-user functionality.
• Develop monitoring processes for data systems' performance.
• Maintain clear documentation of all data processes.

Skills

SQL

NoSQL databases

Python

Java

Scala

Hadoop

Spark

Kafka

AWS

Azure

Google Cloud

Redshift

Snowflake

BigQuery

Apache Airflow

Education

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

Job description

A consulting firm in Malaysia is seeking a highly motivated Data Engineer to design, build, and maintain data infrastructure. Ideal candidates will have a Bachelor’s degree and 3-5 years of experience in data engineering, with proficiency in SQL, NoSQL, and programming languages like Python or Java. Fresh graduates are encouraged to apply for this critical role in optimizing data management systems.