Develop and maintain applications for advanced data analytics for equipment performance optimization and predictive maintenance.
Define and implement data analytics methods.
Define and implement data integration (data transformation, data pipeline).
Design and implement web based data visualization & reporting.
Continuous product improvement.
Work in interdisciplinary, cross-functional teams.
Qualifications
Bachelor of Science in Software Engineering / Computer science or higher.
3 or more years of experience in agile software development in area of data engineering & analytics, preferrable in industrial & automation sector.
Experience in AI / machine learning framework, e.g. Scikit-learn, PyTorch
Experience in Web development.
Programming skills in JavaScript / Typescript (on Node.js) and in Python.
Familiar with cloud computing & micro service architecture.
Solid knowledge and hands-on experience in: o Linux & Windows OS o Docker container technology o Database technology o Scripting language o Data visualization
Proficiency in written and spoken English.
Well organized, strong engineering problem solving methodology.
Team player with good working attitude and communication and interpersonal skills.
