Description

You will design and implement scalable, secure solutions on the Azure platform, integrating full-stack, data, and AI components.

Responsibilities

• Design and implement scalable solutions on Azure integrating full-stack, data, and AI components.
• Develop architecture frameworks and best practices tailored to the power and energy sector.
• Build responsive frontend applications and backend services using modern frameworks and APIs.
• Architect and deploy modern data warehouses and ETL/ELT workflows.
• Integrate Generative AI models to create solutions for predictive analytics and automation.
• Lead cross-functional teams of developers, data engineers, and analysts.

Required Skills

• 10 years of experience in solution architecture, with at least 5 years in Azure environments.
• Expertise in Azure services including Synapse Analytics, Data Factory, Cognitive Services, AKS, Functions, and API Management.
• Proficiency in full-stack development using React, Angular, or Vue.js and .NET, Node.js, or Python.
• Experience with Generative AI, including OpenAI APIs or Azure OpenAI Service.
• Strong data engineering skills involving ETL processes, data modeling, and pipeline optimization.
• Knowledge of Snowflake, Databricks, or other data platforms.
• Experience with DevOps practices, including CI/CD, Docker, and Infrastructure as Code using Terraform or Azure DevOps.
• Understanding of power and energy industry requirements, such as grid management and regulatory compliance.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

• Azure Solutions Architect Expert, Azure Data Engineer Associate, or Azure AI Engineer Associate certifications.
• Advanced degrees in technical fields.

Key Skills

Education

Bachelor's degree