Data Engineer

Radii Global; Malaysia; In loco; MYR 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

Java

Analytical thinking

Teamwork

Problem solving

Formazione

Bachelor’s degree in Computer Science or Electrical Engineering

Master’s degree (preferred)

Strumenti

SQL

NoSQL

Spark

Descrizione del lavoro

Responsibilities

• Design and implement scalable data architectures and systems capable of managing large datasets and supporting real-time analytics.
• Extract, transform, and load data from multiple sources such as databases, warehouses, and data lakes.
• Maintain data accuracy and consistency through validation, cleansing, and robust security and privacy practices.
• Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver reliable access to information.
• Build and maintain ETL workflows, data pipelines, and other integration tools to ensure seamless data flow.
• Conduct data modeling and database design, optimizing structures and queries for speed and scalability.
• Monitor and manage data infrastructure to ensure optimal performance and uptime.
• Stay current with the latest data engineering technologies and recommend improvements or new tools when beneficial.
• Contribute to team collaboration through meetings, code reviews, and shared development initiatives.
  

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field (Master’s preferred).
• Deep understanding of data management and database systems, including SQL, NoSQL, and Spark.
• At least 2 years of experience working with data integration technologies such as ETL, data pipelines, and data warehousing.
• Strong programming skills in Python and Java.
• Excellent analytical and problem-solving abilities with a focus on resolving complex data challenges.
• Effective communication and teamwork skills.
• Proven ability to manage multiple priorities and adapt to changing business needs.
• Commitment to data integrity, confidentiality, and fostering an inclusive, safe work environment.