Senior Data Engineer - GenAI

About the role

In this role, you will design and develop production-grade pipelines , leverage GenAI tools (Copilot, Claude, Gemini) to boost development productivity, and define engineering best practices across complex data environments. This is a highly collaborative, cross-functional role — ideal for someone who thrives at the intersection of data engineering excellence and GenAI-powered innovation .

What you'll do

• Architect and develop end-to-end data pipelines — from ingestion to transformation to consumption
• Lead solutioning and integration for complex data workflows (batch and streaming)
• Use AI-assisted coding tools (e.g., GitHub Copilot, Claude, Gemini) to accelerate code development, refactoring, and debugging
• Implement robust data quality, testing, lineage, and governance frameworks
• Drive best practices across pipeline performance, reusability , and scalability

What you need

• 6–11 yrs of experience
• LLMs
• SQL
• Python
• ETL
• Data modelling
• Spark
• Any graduate

Good to have

• BigQuery
• Databricks
• GCP
• Unit testing
• CI/CD
• Git