EIS Associate Developer I

Qcells Georgia, Inc.

Cartersville (GA)

On-site

USD 90,000 - 120,000

Full time

13 days ago
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Job summary

Qcells Georgia, Inc. is seeking an EIS Associate Developer to build and operate a data pipeline for the solar product manufacturing line and perform end-to-end analysis from data gathering through visualization.

The role requires extracting data from multiple sources, creating efficient ETL processes, developing visualizations for engineers and technicians, and collaborating with cross-functional teams to ensure data quality and operational reliability.

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Industrial Engineering, MIS, or related field.
  • 3+ years of data engineer experience with multiple data sources (Oracle, SQL).
  • Experience with Java, Spring Boot, and web applications.
  • Strong understanding of OOP concepts and data pipelines.

Responsibilities

  • Define and extract high-volume manufacturing data from multiple sources and integrate into a target data store.
  • Design and develop data visualizations for engineers and technicians.
  • Develop ETL scripts for maintenance, monitoring, and performance tuning.
  • Collaborate with cross-functional teams to resolve data quality and operational issues.
  • Maintain and enhance existing data pipelines and visualizations.

Skills

OOP concepts
Analytical thinking
Communication skills

Education

Bachelor’s degree in Computer Science, Statistics, MIS or related field
Master’s degree in quantitative discipline

Tools

Java
Spring Boot
Spotfire
Tableau
PowerBI
Numpy
Scipy
Scikit-learn
Django
Flask
Hadoop
Spark
Kafka

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

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.

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