Responsibilities - Develop and maintain data pipelines and systems to ensure seamless integration of manufacturing and business data - Design and implement data processes, including extraction, cleansing, transformation, loading, and replication, ensuring data accuracy and integrity - Coordinate with a broad range of stakeholders, including senior business leadership, to deliver scalable and actionable data solutions - Assist in database optimization and application troubleshooting, document workflows, and improve visibility of data and software issues among internal teams - Lead the development of best practices for data engineering, infrastructure, and real-time data processing, sourcing and implementing solutions as needed Requirements - Bachelor's Degree in Computer Science, Engineering, or a related field, with 3+ years experience in a data engineering or data-focused role - SQL expert with strong communication and data presentation skills - Working experience in cloud computing platforms (AWS, GCP, Azure), and scripting languages (e.g. Python) - Working experience in data integration, pipeline, and database optimization - Demonstrated ability to work independently under limited supervision and as a team member in a collaborative environment Preferred Qualifications - Advanced degree in Computer Science, Engineering, or a related field - Experience in the semiconductor industry - Experience in Critical Manufacturing Execution System - Experience in data visualization tools (Grafana, Looker, Tableau, Power BI)
Job Type
Onsite role
Skills required
No particular skills mentioned.
Location
Bay Area, California
Salary
No salary information was found.
Date Posted
April 25, 2025
Diamond Foundry is seeking a detail-oriented Data Engineer to enhance data collection and analysis for their innovative manufacturing processes. The role involves developing data pipelines and collaborating with a team of engineers to improve productivity.