Technical Specialist - Embedded Data Engineering
INR 1837K-3200K (estimate) Senior-level Full Time
Tasks
- Architect edge data ingestion pipelines
- Build layered edge platform architecture
- Collaborate on data validation and quality checks at the edge
- Deploy and optimize AI ML algorithms on edge hardware
- Design time series data models and pipelines
- Develop edge agents for air gapped environments
- Expose APIs for digital twin and analytics consumption
- Implement data preprocessing filtering and aggregation
- Implement edge data storage with hot and cold tiers
- Integrate edge data pipelines with MIL SIL and HIL requirements
- Integrate telemetry and control data streams
- Normalize data using semantic models
- Orchestrate containerized workloads at the edge
- Schedule and manage digital twin executions
Perks/Benefits
- Employee assistance program
- Flexible schedules
- Health insurance
- Leave policy
- Professional development opportunities
Skills/Tech-stack
AWS Greengrass | Anomaly Detection | Azure IoT | Azure IoT Edge | BACnet | Balena | Brick Schema | C# | C++ | Containerization | Data Preprocessing | Data Quality | Data Storage | Data Validation | Data models | Digital Twin | Docker | Edge orchestration | Event Streaming | Graph Data | Graph data models | Hot cold data storage | InfluxDB | IoT Edge | JavaScript | K3s | Kubernetes | MIL/SIL/HIL | Modbus | Ontologies | Project Haystack | Prometheus | Python | QuestDB | Real Time | Real-time Event Streaming | SIL/HIL | Semantic data | Semantic data models | Time Series | Time-series databases | TimescaleDB
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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