Posted:3 days ago|
Platform:
On-site
Full Time
Responsibilities
• Integrate GPS trackers, OBD-II/telematics devices, and IoT sensors
• Build real-time data ingestion pipelines using Kafka, MQTT, or WebSockets.
• Develop and manage data models for telemetry in database.
• Implement vehicle and driver monitoring features (driver behavior, route deviations, idle time).
• Collaborate with AI/ML engineers for predictive maintenance, route optimization, and anomaly detection.
• Work with BI/Data Engineers to feed IoT data into dashboards and reports (Grafana, Superset, Power BI).
• Ensure secure communication protocols (TLS, VPN, device auth) for IoT devices.
• Deploy IoT integrations on AWS IoT Core / Azure IoT Hub or open-source brokers (EMQX, Mosquitto).
• Support real-time alerts (accident detection, route deviation, fuel theft) via SNS, Gupshup, or WhatsApp
API.
Required Skills
• Strong knowledge of IoT protocols: MQTT, CoAP, AMQP, WebSockets.
• Hands-on with GPS/telematics devices, OBD-II, CAN bus integration.
• Backend experience in Java (Spring Boot), Node.js, or Python for IoT data ingestion services.
• Event-driven systems: Kafka, RabbitMQ, or AWS IoT Core.
• Data modeling for time-series telemetry (PostgreSQL + TimescaleDB, OpenSearch, InfluxDB).
• Experience with OpenSearch Maps / Grafana for location & vehicle visualization.
• Security practices for IoT (device identity, TLS encryption, SIM/APN management).
• Knowledge of cloud IoT platforms (AWS IoT Core, Azure IoT Hub, GCP IoT Core).
Good to Have
• Familiarity with digital twin modeling for assets.
• AI/ML integration experience for driver scoring, fuel optimization, predictive maintenance.
• Edge computing frameworks (AWS Greengrass, KubeEdge).
• Containerized IoT microservices on Kubernetes (AWS EKS).
Etenico Technologies
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