Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions
Job Summary
Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions.
Develop and implement full-stack software solutions, databases and analytics applications, ensuring seamless integration of data, systems and workflows.
Design, develop and deploy machine learning models and advanced algorithms to support predictive analytics, process optimization, anomaly detection and other value adding manufacturing use cases.
Matching Summary
Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions.
Skills & Requirements
Must-have
Full stack software development
Software development lifecycle processes
Modern data stacks
Data integration workflows
SQL, Python, Java, C#
ETL tools, REST APIs
Relational and non-relational databases
Nice-to-have
Analytical thinking and problem-solving
Leadership and stakeholder management
Self-driven and results oriented
Quickly learn new skills
Team-oriented environment
Key Requirements
Bachelor’s Degree in Software Engineering, Computer Science or equivalent
At least 5 years of relevant industrial working experience
Proven track records in developing and deploying data pipeline and business intelligence solutions
Working knowledge in BI platforms (e.g.: Qliksense, Power BI, Grafana etc.)