Design, build, and maintain scalable data pipelines and architectures.
Integrate, transform, and prepare large volumes of structured and unstructured data.
Collaborate with developers, data analysts, and stakeholders to support application and business needs.
Ensure data quality, governance, and security standards are maintained.
Work on data-related projects involving IoT and Big Data platforms.
Optimize ETL processes for performance and scalability.
Requirements:
Bachelor's degree in Computer Science, Data Engineering, or related field.
Minimum 3+ years of experience as a Data Engineer.
Proficiency in SQL, Python, and data pipeline tools (ETL frameworks).
Experience with big data tools (Hadoop, Spark, Kafka) is preferred.
Knowledge of cloud platforms (AWS, Azure, GCP) is an advantage.
Strong problem-solving and analytical skills.
Only Malaysian citizens will be considered.
Job Types: Full-time, Permanent
Pay: RM5,000.00 - RM7,000.00 per month
Work Location: In person
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