Qorvo is looking to improve diverse manufacturing Extract-Transform-Load (ETL) dataflows and support the development of applications that leverage this data, optimizing processes and ensuring the reliability and scalability of data-driven solutions.
Requirements
- Proficiency with at least one object-oriented scripting language (e.g., Python, C-Sharp, Ruby, etc.)
- Working proficiency with relational database design, SQL query construction, and stored procedures
- Familiarity with web and frontend frameworks (.NET, Django, React, Vue, etc.)
- Familiarity with file parsing, sharing and transfer mechanisms, XML/JSON file formats
- DevOps familiarity using GitLab or GitHub
Responsibilities
- Assist in designing, developing, and optimizing ETL dataflows for manufacturing processes
- Support the maintenance and enhancement of applications that utilize manufacturing data
- Collaborate with cross-functional teams to gather requirements and implement data solutions
- Analyze data quality and integrity, identifying areas for improvement
- Document processes, workflows, and technical solutions for future reference
- Participate in troubleshooting and resolving issues related to dataflows and applications
Other
- Currently enrolled in Information Systems, Computer Science, Engineering, or a related discipline with completion of at least two years of school prior to beginning of internship
- 3.0 GPA or higher
- Effective oral and written communication skills
- Ability to work independently as well as in a collaborative, interdisciplinary team environment
- This position is not eligible for visa sponsorship by the Company.
