Lead Embedded Data Engineer
INR 1200K-2040K (estimate) Senior-level Full Time
Tasks
- Build containerized edge workloads
- Build local edge storage hot and cold tiers
- Deploy and optimize AI ML on edge hardware
- Design edge data ingestion pipelines
- Design layered edge platform architecture
- Enable APIs for analytics and digital twins
- Ensure low latency high throughput fault tolerance
- Extract features and perform data quality checks
- Implement edge agents for air gapped environments
- Implement edge data preprocessing filtering and aggregation
- Integrate control data streams
- Orchestrate scheduled digital twin executions
Perks/Benefits
- Employee assistance program
- Flexible schedule
- Health insurance
- Leave policy
- Professional development
Skills/Tech-stack
APIs | AWS Greengrass | Aggregation | Air-gapped | Air-gapped systems | Anomaly Detection | Azure IoT | Azure IoT Edge | BACnet | Balena | Brick Schema | C# | C++ | Cold storage | Container Orchestration | Data Preprocessing | Data Quality | Data Validation | Data models | Digital Twins | Docker | Edge orchestration | Edge orchestration frameworks | Event Streaming | Feature extraction | Filtering | Graph schemas | Hot cold storage | InfluxDB | IoT Edge | JavaScript | K3s | Modbus | Ontologies | Orchestration frameworks | Project Haystack | Prometheus | Python | QuestDB | Real Time | Real-time Event Streaming | 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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