Data Engineer: Real-Time Analytics & Scalable Pipelines

Radii Global; Malaysia; On-site; MYR 120,000 - 180,000; Full time

Job summary

Radii Global is seeking a data engineer to design scalable data architectures, develop ETL pipelines, and collaborate with data scientists to deliver reliable access to information. You will implement data pipelines, validate data integrity, and optimize performance for real-time analytics in a fast-paced environment.

The role requires strong Python/Java skills, experience with SQL/NoSQL/Spark, and a commitment to data security and teamwork.

Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (Master’s preferred).
• Deep understanding of data management and database systems, including SQL, NoSQL, and Spark.
• At least 2 years of experience with ETL, data pipelines, and data warehousing.

Responsibilities

• Design and implement scalable data architectures and systems for large datasets and real-time analytics.
• Extract, transform, and load data from databases, warehouses, and data lakes.
• Maintain data accuracy and security through validation, cleansing, and privacy practices.

Skills

Python

Java

Analytical thinking

Teamwork

Problem solving

Education

Bachelor’s degree in Computer Science or Electrical Engineering

Master’s degree (preferred)

Tools

SQL

NoSQL

Spark

Job description

Radii Global is seeking a data engineer to design scalable data architectures, develop ETL pipelines, and collaborate with data scientists to deliver reliable access to information. You will implement data pipelines, validate data integrity, and optimize performance for real-time analytics in a fast-paced environment.

The role requires strong Python/Java skills, experience with SQL/NoSQL/Spark, and a commitment to data security and teamwork.