Data Engineer E-Commerce  

• Learning and fully understanding the data landscape in databases and applications
• Develop, construct, test and maintain data architectures
• Data acquisition
• Develop data set processes
• Identify ways to improve data reliability, efficiency and quality
• Conduct research for industry and business questions
• Prepare data for predictive and prescriptive modeling
• Use data to discover tasks that can be automated
• Communicating data trend to senior management and across the organization
• Continually monitoring data collection
• Proactively understand data needs of business users, and design informative dashboards and reports.

Requirement:

• Fresh graduate whose tech savvy and enthusiast with data are welcome to apply
• Fast learner and independent
• Familiar with Airflow, AWS Glue, Python
• Able to use Python (and Pandas library)
• Excellent skills in analytical programming language primarily SQL
• Passionate and enthusiastic with analyzing, managing, organizing data and writing codes in Python.
• Strong analytical and data organization skill
• Strong sense to modern security awareness
• Ability to communicate well with technical and nontechnical users.
• Excellent in written and oral communication skill