AWS Data Engineer

Role- AWS Data Engineer

Experience Range- 7 to 13 Years

Locations- Pune, Bangalore, Delhi

Key Technical Skillsets-

We are seeking a skilled and motivated Senior Data Engineer to join our engineering team. He/she will be responsible for building robust and scalable Data pipelines while collaborating across teams to create scalable, high-quality, maintainable product.

• Proficiency in Python for data transformation and automation.
• Experience with Terraform and AWS Cloud infrastructure.
• Familiarity with Java for SCADA software development.
• Understanding of Data Lake architecture and data modeling.
• Knowledge of MQTT, Greengrass, and OPC-UA protocols.
• Experience with Windows Server management and PowerShell scripting.
• Ability to create and manage Grafana dashboards using SQL queries.
• Basic knowledge of AWS CloudWatch and AWS Glue.

Responsibilities-

• Design and implement data transformation workflows using Python and AWS services.
• Develop and maintain infrastructure using Terraform and AWS Cloud.
• Standardize and manage raw and curated data in a multi-source Data Lake.
• Build and maintain SCADA data collection software deployed on AWS Greengrass.
• Automate deployment of Greengrass across multiple sites and ensure operational stability.
• Monitor and manage Windows servers hosting Greengrass using PowerShell.
• Create and maintain Grafana dashboards for data visualization and system monitoring.
• Coordinate with IT teams to manage incidents and plan maintenance activities.
• Use AWS CloudWatch to monitor system health and report errors.
• Integrate CRM data (Salesforce) into Power BI using AWS Glue and Python Lambdas.
• Collaborate with Data Platform teams to manage access, API provisioning, and folder creation.