Seeking a seasoned Technical Lead with a strong background in Data Engineering to drive innovative solutions. This role focuses on leveraging advanced technologies and robust architectural principles to build scalable and efficient data systems.

This is an opportunity to lead technical initiatives, mentor teams, and contribute to critical data infrastructure. If you are passionate about data, possess deep technical expertise, and thrive in a collaborative environment, we encourage you to apply.

Architect, design, and implement complex data engineering solutions using Python and Django.

Develop and optimize SQL databases, ensuring high performance and data integrity.

Apply expertise in GenAI technologies, including GPT models, embeddings, and agents, to create intelligent data applications.

Lead application architecture discussions, focusing on system integration and service-oriented design.

Implement and manage DevOps practices, CI/CD pipelines, and automated deployment strategies.

A minimum of 7 years of hands-on experience with Python and Django is essential for complex application development.

Requires 5+ years of experience in SQL development, performance optimization, and database design.

Must have at least 1-2 years of applied experience with GenAI technologies such as GPT models, embeddings, and agents.

Possesses deep expertise in application architecture, system integration, and service-oriented design principles.

Requires strong experience with DevOps tools and practices, including Git, Azure DevOps, CI/CD pipelines, and automated deployments.

An advanced understanding of REST, SOAP, WSDL, and large-scale service integrations is necessary.