Data Engineer

Role: AWS Data Engineer

Experience: 5+ Years

Location: PAN India

Summary:

We are looking for an experienced AWS Data Engineer with strong Python and data engineering skills to design, build, and manage scalable data pipelines and cloud infrastructure. The role involves working with AWS services, Data Lake architecture, Greengrass-based data collection, and integrating enterprise data sources for analytics and visualization.

Key Responsibilities:

• Design and implement data transformation pipelines using Python, PySpark, and AWS services
• Build and manage cloud infrastructure using Terraform and AWS
• Develop and maintain Data Lake solutions with raw and curated datasets
• Build and operate SCADA data collection systems on AWS Greengrass
• Automate Greengrass deployments across multiple sites
• Monitor systems using AWS CloudWatch and Grafana dashboards
• Manage and automate Windows Server operations using PowerShell
• Integrate enterprise data (e.g., Salesforce) into Power BI using AWS Glue and Python
• Collaborate with IT and data platform teams for access management and incident resolution

Required Skills:

• Strong Python programming and data engineering experience
• Hands-on experience with AWS Cloud, PySpark, and Terraform
• Knowledge of Data Lake architecture and data modeling
• Experience with AWS Greengrass, MQTT, OPC-UA, and SCADA systems
• Windows Server administration and PowerShell scripting
• Grafana dashboard creation using SQL

Good to Have:

• SCADA and industrial data systems experience
• Multi-site deployment automation
• Salesforce and Power BI integration
• Networking and cybersecurity fundamentals