Data Engineer

Responsibilities

• Aid in defining and extracting manufacturing data from various sources.
• Support integration of extracted data into a target database, application, or file using efficient programming practices.
• Develop and help maintain scripts for ETL processes, including monitoring and basic performance tuning.
• Collaborate with cross-functional teams to identify and resolve data quality and operational issues.
• Maintain existing data pipelines and support enhancement requests for visualizations.

Requirements

• 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 like Spotfire, Tableau, Power BI, etc.
• Exposure to big data technologies like Hadoop, Spark, Kafka, etc.
• Exposure to cloud platforms like AWS, Azure, or GCP (e.g., coursework, certifications, or personal projects).