remote
Data Systems Specialist - Qnity
Software Engineer
Data Systems Specialist driving advanced electronics data pipelines using Python, SQL, and cloud ETL tools to deliver reliable, scalable solutions for high‑tech innovation.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store large volumes of sensor and product data.
- Collaborate with cross‑functional teams to define data models, schemas, and quality standards for analytics and reporting.
- Implement automated ETL workflows using Python and AWS services (Glue, Lambda, S3) to ensure data integrity and timeliness.
- Monitor pipeline performance, troubleshoot issues, and optimize for scalability and cost efficiency.
- Document data architecture, processes, and best practices for internal stakeholders.
Requirements
- 3+ years of experience building data pipelines in a high‑tech or electronics environment.
- Proficiency in Python, SQL, and relational database design.
- Hands‑on experience with AWS data services (Glue, Lambda, S3, Redshift).
- Strong analytical skills and a passion for data quality and automation.
- Excellent communication and teamwork abilities.