About the role - you will:

• With over ~6500+ MDWx machines alone (not including other equipment platforms), SFE/CATE generates a sizeable amount of production and R&D data. As part of the Industry 4.0 revolution, develop tools, and code to enable SFE/CATE to extract as much learning and value from its production data. Ensure that the data is available to all customers that require it and develop common tools for accessing the data (Python REST for example).  
• Working with both SFE/CATE customers and internal R&D teams, develop software and data solutions that can extract, analyze and deliver results from equipment datasets as fast as possible. 
• Coordinate with the design and architecture team members as well as FIS, IT, and OTAAG to develop complete solutions through the equipment data lifecycle. Ensure that all stakeholders are coordinated when new features or data become available. Become familiar with all platforms that consume the data (EDCS, EDW, R Shiny, Apache H Base, custom engineering tools and more).  
• Work with the design teams to ensure the design of data throughout the data lifecycle on SFE/CATE equipment. Data generation -> aggregation -> consumption -> feed forward. Ensure that the format of the data can easily transposed through different tools and various front ends; data visualization (Tableau), data analysis (Python Jupyter Notebooks), and AI/ML (Athena). 
• Develop user interfaces to enhance use and interaction with equipment as well engagement and exploration of equipment data. This can include web technologies as well as desktop software written in a variety of platforms including C/C++/C#/Python.  
• Develop reusable software tools and frameworks that can be leveraged across EDE equipment platforms.  

About you:

• Bachelors Degree in data science, computer science, software engineering or other relevant discipline 
• Requirements solicitation and user engagement 
• Design and concept development based around high level needs of the business 
• Data analysis and processing 
  • JMP, Matlab, SciLab, or equivalent experience 
  • Tableau (beneficial but not required) 
• Software development skills 
  • Version control and issue tracking 
  • C/C++ 
  • Python 
  • Database development (beneficial but not required) 
• Artificial intelligence/machine learning (beneficial but not required) 
• Good communication skills 
• Good documentation skills 

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass-transportation to work. Ample free on-site parking is also available. Being a purpose built building; The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym and recreation rooms. Our yoga and zumba classes are very popular. We also offer classes and interest groups in photography, gardening and foreign languages, and have various on-site celebrations, and community volunteer opportunities.