EIS Associate Developer I

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 visualization enhancement requests

Requirements

• 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

Qualifications

• Master’s degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management Information Systems or a related field) (preferred)
• 5+ years of prior experience as a data engineer or a similar role (preferred)
• Experience in manufacturing industry such as solar PV or semiconductors (preferred)
• Proficiency in data visualization tools (Spotfire, Tableau, PowerBI, etc.) (preferred)
• Experience in using statistical packages (Numpy, Scipy, Scikit-learn) and Web framework (Django, Flask) in Python (preferred)
• Experience in the big data technologies (Hadoop, Spark, Kafka, etc.) (preferred)

Skills

• Object-Oriented Programming
• Data Visualization Tools (Spotfire, Tableau, PowerBI, etc.)
• Statistical Packages (Numpy, Scipy, Scikit-learn)
• Web Frameworks (Django, Flask)
• Big Data Technologies (Hadoop, Spark, Kafka, etc.)

Benefits

• Equal Employment Opportunity

Pay

N/A

Schedule

N/A