Cloudthat Technologies
IoT Analytics Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
10 September 2026
What they need
Experience: 5+ years
Location: Bangalore
Mandatory Experience
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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