AWS IoT Greengrass Engineer / AWS Edge Data Integration Specialist
Technical/Functional Skills -MUST HAVE SKILLS
AWS IoT & Edge Computing
AWS IoT Greengrass V2
AWS IoT Core
MQTT Protocol
Device Provisioning & Fleet Management
Edge Device Management
Device Shadows
Industrial IoT Architecture
AWS Services
AWS Lambda
AWS Glue
Amazon S3
Amazon SNS
AWS CloudWatch
AWS IAM
AWS EventBridge
AWS Secrets Manager (preferred)
Programming
Python
Shell Scripting
Node.js (preferred)
Java (preferred)
Should be an excellent team player, robust communication and ownership skills
Positive communication and interpersonal skills
Responsibilities
Edge Computing & IoT
Design, deploy, and manage AWS IoT Greengrass components for manufacturing and industrial environments.
Configure and maintain Greengrass devices for local data processing, filtering, transformation, and secure communication.
Develop edge applications using AWS IoT Greengrass V2 components.
Implement machine-to-cloud connectivity patterns for manufacturing systems and plant-floor applications.
Manage device lifecycle, provisioning, monitoring, and updates across distributed edge devices.
AWS Cloud Integration
Configure and manage AWS IoT Core, IoT Policies, Device Shadows, and Secure MQTT communication.
Develop secure edge-to-cloud data pipelines using AWS services.
Integrate AWS IoT solutions with:
Amazon S3
AWS Lambda
AWS Glue
Amazon SNS
AWS CloudWatch
AWS IAM
Enable real-time event processing and monitoring from edge devices.
Data Engineering & Analytics
Build data ingestion pipelines from on-prem manufacturing systems into AWS Data Lake settings.
Support data transformation and standardization processes.
Integrate AWS data pipelines with Snowflake Data Warehouse environments.
Enable downstream analytics and reporting through Power BI and enterprise reporting platforms.
Troubleshoot data quality, latency, and synchronization issues.
Security & Governance
Implement secure authentication and authorization using AWS IAM.
Configure encryption and secure transport mechanisms for IoT devices.
Ensure compliance with enterprise security and operational standards.
Monitor system health, audit logs, and operational metrics.