"1. Programming Languages: Proficiency in languages such as Python, Java, C#, or JavaScript.
2. AI literacy, able to handle various intelligent charters / ideas, route the saem thru right applications and being able to define end to end cycle of AI app development etc.
3. Database Management: Knowledge of SQL and experience with database systems like MySQL, PostgreSQL, or MongoDB.
4. Software Development: Experience with software development methodologies (e.g., Agile, Scrum) and tools (e.g., Git, JIRA).
5. Data Analysis: Strong understanding of data analysis and manipulation, often using libraries like Pandas (Python) or frameworks like Apache Spark.
6. Development experience with low code, no code, vibe code platforms
7. User Interface (UI) and User Experience (UX) Design: Skills in designing intuitive and user-friendly interfaces, possibly using tools like Figma or Adobe XD.
8. API Development: Experience in developing and integrating APIs to ensure seamless data exchange between systems.
9. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying and managing applications.
10. Relevant experience in application development for indsutrical product design process - the aaplications may include requirement management scorecard, product design scorecard, DFMEA tools etc.
11. Shall be aware of industrial new product design related PDLC, PLM, DFSS, Design engineering, CAD tools etc.
12. Capable of developing the requirements /user stories etc., understands data engineering
13. Shall be aware of upcoming AI technologies and possible applicabtions of the same w.r.t. the new tools or apps being developed
14. Hands-on experience in developing software and end to end SDLC related project management: Experience in managing software development projects from conception to deployment.
15. Excel Knowledge: Deep understanding of Excel functionalities to effectively translate them into new tools.
16. Testing: Proficiency in writing and executing tests to ensure software reliability and performance.
Additional expereince:
Security: Understanding of cybersecurity principles to protect sensitive data.
Scalability: Ability to design systems that can scale efficiently as the user base grows."
"Leadership skills - the capability to lead change, excellent communication and presentation skills – both verbal and written with the ability to make necessary status reports and technical presentations to Eaton management, Good analytical skills and business acumen, High proficiency in preparing and managing schedules.
Ability to work collaboratively and cross-functional in a global organization
Promotes & Champions Change
Problem-Solving: Ability to identify issues and develop effective solutions.
Adaptability: Willingness to learn new technologies and adapt to changing requirements.
Attention to Detail: Ensuring accuracy and quality in the development process."