Data Engineer: Build Scalable Pipelines & ML Insights
Data Flows
Kuala Lumpur
On-site
MYR 163,398 - 245,098
Full time
14 days+
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Job summary
A data technology firm based in Kuala Lumpur is seeking a data engineer to design and maintain scalable data pipelines. The role involves collecting and transforming data, developing machine learning models, and creating insightful dashboards. Candidates should have a degree in a related field and proficiency in Python and SQL, along with strong problem-solving skills. Familiarity with data visualization tools and cloud platforms is preferred. This position provides a dynamic environment for transforming data into actionable insights.
Qualifications
Proficiency in Python and SQL for data manipulation and analysis.
Understanding of machine learning algorithms and statistical modeling.
Experience with big data technologies is a plus.
Responsibilities
Design, build and maintain scalable data pipelines and ETL processes.
Collect, clean and transform data from multiple sources for analysis.
Create dashboards and visualizations to communicate insights.
Skills
Proficiency in Python
Proficiency in SQL
Strong problem-solving skills
Attention to detail
Experience with data visualization tools
Understanding of machine learning algorithms
Ability to communicate technical concepts
Education
Diploma or Bachelor Degree in Computer Science
Degree in Data Science
Degree in Statistics
Tools
Power BI
Tableau
AWS
GCP
Azure
Spark
Hadoop
Airflow
Job description
A data technology firm based in Kuala Lumpur is seeking a data engineer to design and maintain scalable data pipelines. The role involves collecting and transforming data, developing machine learning models, and creating insightful dashboards. Candidates should have a degree in a related field and proficiency in Python and SQL, along with strong problem-solving skills. Familiarity with data visualization tools and cloud platforms is preferred. This position provides a dynamic environment for transforming data into actionable insights.