AWS IoT Greengrass Engineer

Tata Consultancy Services; Hyderabad, Chennai, Bengaluru; On-site; INR 1,200,000 - 3,200,000; Full time

Job summary

Tata Consultancy Services Limited in Hyderabad招is seeking an experienced IoT engineer to design and manage edge computing solutions using AWS IoT Greengrass, Core, and related services. The role focuses on manufacturing environments, secure data pipelines, and device lifecycle management.

You will implement edge apps, integrate with S3, Lambda, Glue, IAM, and monitor operational metrics, ensuring reliable machine-to-cloud connectivity and robust security across distributed devices.

Qualifications

• Must have AWS IoT Greengrass V2 and AWS IoT Core expertise.
• Strong MQTT protocol understanding and device shadows.
• Experience with edge computing and industrial IoT architecture.
• Proficient in Python, Node.js, or Java, with shell scripting.
• Ability to design secure, scalable edge-to-cloud data pipelines.

Responsibilities

• Edge Computing & IoT: Design, deploy, and manage AWS IoT Greengrass components for manufacturing environments.
• Configure and maintain Greengrass devices for local data processing and secure communication.
• Develop edge applications using Greengrass V2 components.
• Implement machine-to-cloud connectivity patterns for manufacturing systems.
• 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.
• Troubleshoot data quality, latency, and synchronization issues.

Skills

AWS IoT Greengrass

AWS IoT Core

MQTT Protocol

Edge Computing

Industrial IoT

Python

Node.js

Java

Shell Scripting

AWS Lambda

AWS S3

AWS Glue

AWS IAM

AWS CloudWatch

AWS SNS

AWS EventBridge

AWS Secrets Manager

Device Shadows

Edge Device Management

Greengrass components

Secure MQTT

Job description

Job Description:

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
• Good 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.