■ Build and maintain data pipelines using Python, SQL and Dagster.

■ Organise, clean and validate datasets for analytics and AI applications.

■ Support AI workflows including data labeling and training preparation.

■ Develop ETL/ELT processes for ingesting and transforming data.

■ Monitor and improve data quality, reliability and pipeline performance.

■ Work with AWS cloud services to support data infrastructure.

■ Collaborate with engineering and product teams to deliver scalable solutions.

■ Assist with CI/CD, deployment and troubleshooting of data applications.

Education Qualifications & Certificates

■ A degree in Computer Science, Data Science, Software Engineering or a related field is beneficial but not essential.

Working Experience

■ 1+ years of experience in data engineering or related technical roles.

■ Experience building data pipelines using Python and SQL.

■ Exposure to AWS cloud platforms and data workflows.

■ Experience with AI/ML data preparation is a plus.

Skills, Knowledge & Abilities

■ Experience with Python and SQL.

■ Familiarity with Python data processing libraries such as Pandas.

■ Understanding of relational databases and ETL workflows.

■ Familiarity with Dagster, Airflow or similar orchestration tools.

■ Familiarity with AWS services such as S3, ECS, Lambda or Redshift.

■ Familiarity with Git and CI/CD workflows.

■ Strong problem-solving and communication skills.

■ Comfortable working in agile, fast-paced environments.

■ Be able to speak, read and type in English.

Desired

■ Experience with AI/ML datasets or model training workflows.

■ Experience with PostgreSQL or MySQL.

■ Familiarity with Python backend development, RESTful APIs and frameworks such as FastAPI.

■ Exposure to Docker or infrastructure tooling.

■ Passion for learning and experimenting with AI technologies

Pay: Up to RM6,000.00 per month

Work Location: In person