EIS Associate Developer I

Qcells North America; Cartersville (GA); On-site; USD 85,000 - 120,000; Full time

Job summary

Hanwha Q CELLS seeks an EIS Associate Developer in Cartersville, GA to build and operate a data pipeline for the solar product manufacturing line and perform end-to-end analysis from data gathering to visualization.

You will extract data from multiple sources, develop ETL processes, and create visualizations for engineers and technicians, collaborating with cross-functional teams to ensure data quality and reliability.

Qualifications

• Bachelor’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, MIS or related field).
• 3+ years of experience as a data engineer or similar role.
• Experience with Oracle/SQL databases.
• Experience in web application tools (Java, Spring Boot, etc.).
• Deep understanding of Object-Oriented Programming concepts.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work both independently and in a team.

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 implement visualization enhancement requests.

Skills

Data engineering

SQL

Python

ETL

Problem solving

Communication

Teamwork

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

Java

Spring Boot

Python

Django

Hadoop

Spark

Job description

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.

Description

Location: Cartersville, GA

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.