Data Engineer

Description

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)