Data Engineer

Description The Data Engineer will support the data pipeline operations of solar product manufacturing lines, assisting with data gathering, processing, analysis, and visualization. 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) #J-18808-Ljbffr