✨ About The Role
- The role involves building an Asset Management and Predictive Analytics platform for industrial systems.
- You will be responsible for architecting and managing data analytics offerings at a Terabyte/Petabyte scale.
- Collaboration with the delivery engineering team is crucial for the successful hand-off of self-serve SaaS applications.
- Continuous improvement of the codebase through refactoring and extending the platform for various industries is expected.
- The position requires managing multiple projects simultaneously and taking products from prototype to production.
- You will work closely with team members located in Austin, TX, and the San Francisco Bay Area, contributing to 24x7 product development.
âš¡ Requirements
- A strong foundation in computer science with a bachelor's or master's degree in the field or a related area is essential.
- Candidates should have 3-5 years of experience in building and deploying full stack applications.
- Proficiency in technologies such as React/Redux, HTML5, CSS3, JavaScript, Python, Django, and REST APIs is required.
- Experience with visualization tools or libraries for handling large volumes of data is highly beneficial.
- Familiarity with GIT, CI/CD tools, and Atlassian software will contribute to success in this role.
- A passion for clean energy and a desire to work on innovative solutions in the renewable energy sector is important.
- Experience in IoT time series data and large-scale B2B data management will be advantageous.