Data Engineer

About the role

The Data Engineer builds the data foundation that AI agents, scorecards, and dashboards run on: ingestion pipelines, connectors, metadata and search indexes, vector stores, data marts, and quality instrumentation. The Data Engineer builds the data foundation that AI agents, scorecards, and dashboards run on: ingestion pipelines, connectors, metadata and search indexes, vector stores, data marts, and quality instrumentation.

What you'll do

• Design and build ingestion pipelines for structured data, unstructured content (documents, PDFs), and metadata
• Build reusable connectors to enterprise systems, catalogs, content repositories, and third-party or licensed sources via APIs
• Model and build raw-to-mart data layers that serve analytics and AI use cases
• Implement metadata extraction, enrichment, and search indexing, including semantic and vector indexes for RAG
• Set up and manage vector databases and knowledge repositories used by LLM agents

What you need

• 3–6 years in data science & ai
• SQL
• Python
• AWS
• Databricks
• Snowflake
• Data modelling
• Any graduate

Good to have

• Spark
• Airflow
• dbt
• Azure
• CI/CD
• Git

What you get

• ₹7 L–₹10 L a year