AI Data Engineer
On-siteBatu Kawan, Penang, Malaysia
Job Summary
Senior AI Data Engineer to support AI/ML workflows with clean, reliable data; responsibilities include developing ETL pipelines, API integration, data governance, and deploying ML models in production. Key skills include SQL, Python, Spark, Hadoop, Kafka; experience with cloud data services (AWS Redshift, Azure Data Factory, GCP BigQuery); strong coding, documentation, and ability to work independently or in teams. Requirement: Bachelor's degree in Computer Science, Information Systems, or related field; 4–6 years in data engineering; excellent communication skills. Location: Batu Kawan, Penang, Malaysia.
Required Qualifications
- Bachelor’s in Computer Science, Information Systems, or related field
- 4–6 years in data engineering, with ETL pipeline development and backend integration
- Experience supporting AI/ML workflows with clean, reliable data
- Proven track record of deploying ML models in production environments
- Strong programming and coding discipline across multiple languages
- Excellent communication and presentation skills to technical and non-technical audiences
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