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.