Lead Engineer - Data & AI

About the role

We are looking for an AI & Data Engineer who has strong foundational expertise in data engineering and has extended that into building intelligent AI systems. This role sits at the intersection of scalable data infrastructure and production-grade AI — you will be expected to design and build robust pipelines, model data correctly from first principles, and deliver GenAI-powered applications that run reliably in enterprise environments.

What you'll do

• Build and maintain cloud data warehouse and lakehouse architectures (Snowflake, BigQuery, Delta Lake) following modelling best practices
• Implement dimensional models, SCD strategies, and incremental load patterns appropriate to each use case
• Integrate data from diverse enterprise sources: REST APIs, relational databases, Kafka event streams, and file-based systems
• Manage data quality, lineage tracking, and metadata documentation as part of standard delivery — not as an afterthought
• Optimise query performance, partitioning strategies, and materialization approaches in cloud warehouse environments

What you need

• 6–9 yrs of experience
• Documentation
• AWS
• dbt
• Azure
• Data modelling
• Python
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Machine learning
• Data analysis
• NLP
• SQL
• LLMs
• ETL