Lead Data Engineer

Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines using Snowflake, SQL, Python, ADF, and Airflow.
• Own data modelling, performance tuning, cost optimisation, and data quality.
• Lead GenAI solutioning, architecture design, and end-to-end delivery.
• Implement AI/GenAI solutions using Copilot, Azure OpenAI / OpenAI APIs, Anthropic or Microsoft OpenAI models.
• Hands-on experience with MCP servers, AI orchestration, and LLM-based workflows.
• Design and deploy APIs, AI endpoints, and services with production-grade standards.
• Work with Visual Studio, Cursor, or similar IDEs for development.
• Manage deployments, CI/CD, environment setups, and cloud-native architectures.
• Mentor engineers and collaborate with business and product stakeholders.

Requirements:

• 6-10 years of experience in Data Engineering.
• Strong hands-on skills in Snowflake, SQL, and Python.
• Experience with ADF, Airflow, and ETL/ELT frameworks.
• Practical experience with Copilot and OpenAI-based implementations.
• Experience in API design, endpoint development, and deployments.
• Good understanding of design patterns, system architecture, and production deployments.
• Solution-oriented, result-driven mindset with strong ownership.