• Full Time
• Engineering - Software (Information & Communication Technology)
• Kuala Lumpur

RESPONSIBILITIES:

• Design, build and maintain scalable data pipelines and ETL processes
• Collect, clean and transform data from multiple sources for analysis
• Develop and deploy machine learning models to solve business problems
• Create dashboards and visualisations to communicate insights to stakeholders
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Perform exploratory data analysis to identify trends, patterns and opportunities
• Optimise database performance and ensure data quality and integrity
• Document data architectures, models and analytical methodologies
• Support clients with data-driven decision making and strategy recommendations

QUALIFICATIONS:

• Diploma or Bachelor Degree in Computer Science, Data Science, Statistics or related field
• Proficiency in Python and SQL for data manipulation and analysis
• Experience with data visualisation tools (Power BI, Tableau or similar)
• Understanding of machine learning algorithms and statistical modelling
• Familiarity with cloud platforms (AWS, GCP or Azure)
• Knowledge of data warehousing concepts and ETL processes
• Strong problem-solving skills and attention to detail
• Ability to communicate complex technical concepts to non-technical stakeholders
• Experience with big data technologies (Spark, Hadoop, Airflow) is a plus