o Strong experience with IoT platforms like Azure IoT Hub, AWS IoT Core, or GCP IoT Core.
Proficiency in protocols such as MQTT, AMQP, CoAP, or HTTP for IoT communication.
Hands-on experience with device provisioning, telemetry, and digital twins.
Real-time Streaming and Data Pipeline Skills o Expertise in Apache Kafka, Kafka Streams, or equivalent streaming platforms.
Experience in designing real-time applications using Apache Flink, Spark Streaming, or Azure Stream Analytics. o Knowledge of data pipeline orchestration tools like Airflow, Prefect, or Data Factory.
Programming and Tools o Proficiency in Python, Java, Scala, or Node.js for IoT and streaming applications. o Experience with cloud-native development tools and frameworks. o Familiarity with containerization (Docker) and orchestration (Kubernetes)
IoT Solution Development Assessment Areas: 1. Experience with IoT platforms like Azure IoT Hub, AWS IoT Core but 2. IoT protocols (MQTT). 3. Device provisioning and dashboard.
Real-time Data Streaming and Data Pipeline Design Docker and Kafka
Infrastructure and Containerization Assessment Areas: 1. Configuration of cloud platforms for IoT applications. 2. Security and compliance for IoT systems. 3. Use of Docker and Kubernetes for deployment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical LeadEmployement Type: Full time