Opportunity brief
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.