Job highlights

- Expertise in AWS IoT Greengrass V2, AWS IoT Core, MQTT protocol, edge device management, and Python programming

- Design, deploy, and manage AWS IoT Greengrass components; develop edge applications; manage device lifecycle; configure AWS IoT Core and secure MQTT communication; build data ingestion pipelines; implement security and governance for IoT systems

:

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, strong communication and ownership skills

- Valuable 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 environments.

- 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.

📌 AWS IoT Greengrass Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad