Description SUMMARYThe 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)
