Role overview
Job description
Role summary: 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. Experience: 3 to 6 years in data engineering. Senior Data Engineer: 2+ years, including ownership of data foundation architecture and connector frameworks. Key responsibilities 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
…About this listing
- Listed from Techdome's careers site via Keka · last confirmed on the source 25 Oct 2026
- Posted 5 Oct 2026
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Role market pulse
How Data Engineer demand looks in India
Live jobs
70
Posted 30d
22
30d movement
-46.3%
Remote share
4.3%
Salary listed
5.7%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Set up and manage vector databases and knowledge repositories used by LLM agents; Experience supporting LLM or agentic applications with grounded, traceable data; Cloud certification (Azure Data Engineer, Databricks, AWS, or Snowflake)
Department · Engineering
Hiring company
Techdome
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