Associate Data Engineer
Cartersville, GA
IT – Engineering /
Full-Time
/ On-site
SUMMARY
The Associate Data Engineer 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.
