EIS Associate Developer I

Description

Location: Cartersville, GA   

SUMMARY  

The EIS Associate Developer will build and operate a data pipeline for the solar product manufacturing line and conduct end-to-end analysis from data gathering, data processing, analysis and visualization.  

RESPONSIBILITIES  
• Define and extract a high volume of manufacturing data from multiple sources and integrate data into a target database, application, or file using efficient programming processes  
• Design and develop data visualizations to convey information to engineers and technicians  
• Develop and implement scripts for ETL process maintenance, monitoring, and performance tuning  
• Collaborate with cross-functional teams to resolve data quality and operational issues  
• Maintain existing data pipelines and visualizations enhancement requests  

REQUIRED QUALIFICATIONS  
• Bachelor’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial  
Engineering, Management Information Systems or a related field)  
• 3+ years of prior experience as a data engineer or similar role  
• Extensive experience working with various data sources (Oracle, SQL database)  
• Experience in web applications tools (Java, Spring Boot, etc.)  
• Deep understanding of Object-Oriented Programming concept  
• Excellent analytical, problem-solving, and written/verbal communication skills  
• Ability to work independently and collaboratively in a team environment  

PREFERRED QUALIFICATIONS  
• Master’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial  
Engineering, Management Information Systems or a related field)  
• 5+ years of prior experience as a data engineer or a similar role  
• Experience in manufacturing industry such as solar PV or semiconductors  
• Proficiency in data visualization tools (Spotfire, Tableau, PowerBI, etc.)  
• Experience in using statistical packages (Numpy, Scipy, Scikit-learn) and Web framework (Django, 
Flask) in Python  
• Experience in the big data technologies (Hadoop, Spark, Kafka, etc.)  

Hanwha Q CELLS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.