Job Summary |
Responsible for designing, developing, and deploying advanced IoT and IIoT solutions across industrial and enterprise environments. Integrates sensors, edge devices, gateways, and cloud platforms to enable real-time data collection, analytics, and digital transformation use cases in support of OSCO's engineering solutions portfolio.
Job Description and Responsibilities |
- Design end-to-end IoT and IIoT architectures covering device connectivity, edge processing, data pipelines, and application layers.
- Integrate sensors, edge devices, and IoT gateways with cloud platforms for real-time monitoring and analytics.
- Develop IoT applications and dashboards for remote monitoring, predictive maintenance, and asset performance management.
- Implement data analytics and AI/ML use cases to generate operational insights from IIoT data streams.
- Ensure secure communication, data integrity, and cybersecurity compliance across all IoT solutions.
- Integrate IoT solutions with enterprise systems including ERP (Odoo), SCADA, MES, and third-party platforms.
- Perform testing, performance optimization, and deployment of IoT solutions in industrial environments.
- Support clients in defining IoT use cases, requirements, and ROI frameworks for digital transformation projects.
- Develop technical documentation, architecture diagrams, and solution handover packs.
Basic Qualifications |
- Bachelor's degree in Computer Engineering, Electronics, Telecommunications, Automation, or an IoT-related discipline.
- Minimum 4 years of experience in IoT or IIoT solution development and deployment.
- Hands-on experience with cloud IoT platforms (Azure IoT Hub, AWS IoT Core, or equivalent).
- Knowledge of edge computing architectures, industrial gateways, and MQTT/REST protocols.
- Experience with data analytics, AI/ML frameworks, or digital twin concepts is an advantage.
SKILLS AND COMPETENCIES |
- Proficiency with Azure IoT, AWS IoT, or equivalent cloud IoT platforms.
- Edge computing and industrial gateway configuration experience.
- Knowledge of MQTT, CoAP, REST API, and OPC-UA protocols.
- Data analytics and basic AI/ML model deployment skills.
- Cybersecurity awareness for IoT ecosystems.
- Ability to integrate IoT solutions with ERP, SCADA, and MES platforms.