Data Engineer

Summary

The Data Engineer will support the data pipeline operations of solar product manufacturing lines, assisting with data gathering, processing, analysis, and visualization.

Responsibilities

• Assist in defining and extracting manufacturing data from multiple sources, and support integration into a target database, application, or file using efficient programming practices
• Support the design and development of data visualizations to convey information to engineers and technicians
• Develop and help maintain scripts for ETL process support, monitoring, and basic performance tuning
• Collaborate with cross-functional teams to help identify and resolve data quality and operational issues
• Maintain existing data pipelines and support enhancement requests for visualizations

Required Qualifications

• Bachelor's degree in a quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Management Information Systems, or a related field) with 2+ years of relevant experience
• Familiarity with relational databases such as Oracle, Microsoft SQL or MySQL
• Basic understanding of Object-Oriented Programming concepts
• Strong analytical, problem-solving, and written/verbal communication skills
• Ability to work independently and collaboratively in a team environment
• Eagerness to learn and grow within a fast-paced manufacturing environment

Preferred Qualifications

• Master's degree in quantitative discipline (e.g. Computer Science, Statistics, Industrial Engineering, Electrical Engineering, Chemical Engineering or a related field)
• Exposure to the manufacturing industry, such as solar PV, display or semiconductors
• Familiarity with data visualization tools; Spotfire, Tableau, Power BI, etc.
• Exposure to big data technologies; Hadoop, Spark, Kafka, etc.
• Exposure to cloud platforms; AWS, Azure, or GCP (e.g. coursework, certifications, or personal projects)