Senior AI Data Engineer

About the role

We are looking for a Lead Data Engineer to lead the design, development, and operation of reliable, scalable data platforms and products. This role combines hands-on engineering with technical leadership, guiding a team to deliver secure, well-governed data pipelines and curated datasets for analytics, reporting, and AI use cases.

What you'll do

• Lead the architecture and delivery of scalable batch and streaming data pipelines, data products, and lakehouse solutions across cloud environments
• Translate business, reporting, analytics, and AI requirements into technical designs, data models, interfaces, and delivery plans
• Design ingestion and transformation patterns for relational databases, APIs, event streams, files, and cloud storage, including structured and semi-structured data
• Build and review production-grade data solutions using Python, PySpark, SQL, Spark, and platforms such as GCP BigQuery, Azure Databricks, and Azure Data Lake
• Establish reusable engineering patterns for orchestration, modular transformations, metadata, schema evolution, incremental processing, and backfills

What you need

• 6–11 yrs of experience
• SQL
• Python
• ETL
• LLMs
• Spark
• Data modelling
• B.Sc or B.Tech or B.E. or BCA

Good to have

• Databricks
• BigQuery
• Azure
• GCP
• CI/CD
• Reconciliation