Role Desired Competencies (Technical/Behavioral Competency)

Technical Skills
- 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.

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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.

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Mindset
- Robust problem-solving and debugging skills.
- Proactive and detail-oriented approach to system monitoring and incident management.
- Effective communication with IT and data platform teams.

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Soft Skills
- Strong analytical and problem-solving abilities
- Clear communication in English
- Ability to work independently and collaboratively in a cross-functional team.
- Strong focus on code quality, documentation, and collaboration

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Highly Recommended
- Technical Skills:
- Advanced understanding of SCADA systems

📌 Aws Data Engineer (Delhi)
🏢 Select Source International
📍 Delhi