What are the responsibilities and job description for the EIS Associate Developer I position at Qcells North America?
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
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
- Bachelor’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial
- 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
- Master’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial
- 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,
- Experience in the big data technologies (Hadoop, Spark, Kafka, etc.)