Hanwha Q Cells - EIS Associate Developer I
Data Engineer is needed in Cartersville, United States.
Client: Hanwha Q Cells
Location: Cartersville, GA
Contract: undefined
Job 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 concepts.
- 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 the 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 frameworks (Django, Flask) in Python.
- Experience in big data technologies (Hadoop, Spark, Kafka, etc.).
No longer accepting applications
Get instant notifications for new Data Engineer jobs. Enter your email:
How It Works
🔍Get quality leads
Review job leads for free, filter by local or global clients, and get real time notifications for new opportunities.
🎉Apply with ease
Pick the best leads, unlock contact details, and apply effortlessly with Twine's AI application tools.
📈Grow your career
Showcase your work, pitch to the best leads, land new clients and use Twine’s tools to find more opportunities.
Ari: your job agent
Ari searches hundreds of sources for you, every hour, including company careers pages: more than 10 million postings a month.