Data Engineer

Important Information

Location: Kuala Lumpur

Experience: 6 years

Job Mode: Contract

Work Mode: On-site

Job Summary

Data Engineerto design, build, and maintain scalable data pipelines and infrastructure. Will work closely with data scientists, analysts, and software engineers to ensure data availability, integrity, and performance across platforms. You will play a key role in enabling advanced analytics, reporting, and data-driven decision-making across the organization.

Responsibilities & Duties

• Design, build, and optimize scalable and reliable data pipelines for ETL/ELT processes.
• Develop and maintain data models, schemas, and data warehouse architecture (e.g., Hadoop, informatica, Snowflake, Redshift).
• Integrate data from various internal and external sources, including APIs, cloud platforms, and third-party tools.

Qualifications & Skills

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
• 6 years of professional experience in data engineering.
• Proficiency in SQL and at least one programming language such as Python, Scala, or Java.
• Hands-on experience with ETL tools and workflow orchestration platforms (e.g., Airflow).
• Experience with cloud-based data services (AWS, GCP, or Azure) and data lakes or warehouses.
• Familiarity with version control systems like Git and CI/CD practices.