Key Responsibilities of the Data Engineer:

• Design, develop and maintain data ETL processes, ensure the processes are fulfilling business needs.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and quality improvement.
• Working with ISG managers and leaders to support their data infrastructure needs while assisting with data-related technical issues.
• Ensure Data Quality through continuous improvement and monitoring.
• Expose data to end users using PowerBI or any other modern visualization platform.
• Support PA members on generating desired data analysis results.
• Support PA test activities when needed to achieve business goal.

Job Requirements of the Data Engineer:

• With Information Technology Management Background 
• Experience in ETL, Data Lake, and data warehouse pipelines
• Experience using Python, or Java for data processing
• Experience with reporting / visualization tools (Tableau / PowerBI)
• Understanding of x86 server architecture.
• Familiar with Windows/Linux/VMware operation.
• Interesting in server validation process and methodology.
• Interesting in working in cross functional teams
• Excellent communication (written and verbal), fluent English is a plus.