IoT Analytics Engineer

CloudThat Technologies Pvt. Ltd.; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

CloudThat Technologies Pvt. Ltd. in Bengaluru seeks an IoT Analytics Engineer who can connect device telemetry to cloud-based analytics, bridging OT and cloud platforms.

The role requires knowledge of IoT protocols, edge and gateway patterns, Python-based processing, time-series analytics and scalable cloud integration. The engineer should be able to bridge operational technology and modern cloud platforms, collaborating with cloud, data and ML teams.

Qualifications

• 5+ years of relevant experience in IoT/IIoT, industrial automation, connected products or telemetry analytics.
• Hands-on experience with Python and at least one major IoT protocol.
• Experience with AWS Cloud.

Responsibilities

• Design device-to-edge-to-cloud telemetry flows for industrial and connected-product use cases.
• Integrate devices, gateways, PLC/SCADA systems and cloud IoT services using suitable protocols.
• Develop Python services for telemetry ingestion, validation, transformation and enrichment.
• Build analytics pipelines for time-series monitoring, anomaly detection and predictive-maintenance use cases.
• Implement device identity, certificate management, secure connectivity and message-routing patterns.
• Handle duplicate, delayed, missing and out-of-order telemetry records.
• Design storage, querying, dashboards, alerting and operational observability for sensor data.
• Support edge buffering and resilient operation during intermittent connectivity.
• Collaborate with cloud, data and ML teams on scalable analytics and model integration.
• Document protocol mappings, device onboarding, architecture and operational procedures.

Skills

AWS Cloud

IoT / IIoT

Python

Time-series analytics

Job description

• 5+ years of relevant experience in IoT / IIoT
• Hands-on experience with AWS Cloud – Mandatory
• Strong hands-on experience in IoT and AWS is essential for this role

Role summary

We are looking for an IoT Analytics Engineer who can connect device and industrial telemetry to cloud-based analytics solutions. The role requires knowledge of IoT protocols, edge and gateway patterns, Python-based processing, time-series analytics and scalable cloud integration. The engineer should be able to bridge operational technology and modern cloud platforms.

Key responsibilities

• Design device-to-edge-to-cloud telemetry flows for industrial and connected-product use cases.
• Integrate devices, gateways, PLC/SCADA systems and cloud IoT services using suitable protocols.
• Develop Python services for telemetry ingestion, validation, transformation and enrichment.
• Build analytics pipelines for time-series monitoring, anomaly detection and predictive-maintenance use cases.
• Implement device identity, certificate management, secure connectivity and message-routing patterns.
• Handle duplicate, delayed, missing and out-of-order telemetry records.
• Design storage, querying, dashboards, alerting and operational observability for sensor data.
• Support edge buffering and resilient operation during intermittent connectivity.
• Collaborate with cloud, data and ML teams on scalable analytics and model integration.
• Document protocol mappings, device onboarding, architecture and operational procedures.

Required qualifications and experience

• 5+ years of relevant experience in IoT, IIoT, industrial automation, connected products or telemetry analytics.
• Hands-on experience with Python and at least one major IoT protocol.
• Experience with AWS Cloud
• Practical understanding of device security, edge gateways, telemetry reliability and time-series data.
• Exposure to industrial systems such as PLC, SCADA or DCS environments.
• Ability to troubleshoot across devices, networks, gateways, cloud services and analytics layers.