We are looking for a skilled Senior Data Engineer (with AI/ML exposure) to join our BI team and take an active role in designing, building, and maintaining the end-to-end data pipeline, architecture and design that powers our warehouse, LLM-driven applications, and AI-based BI. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this chance is for you

* The interview process will be conducted in English.

Responsibilities:
- Design, develop, and maintain scalable data pipelines to support ingestion, transformation, and delivery into centralized feature stores, model-training workflows, and real-time inference services.
- Design, optimize, and maintain robust ETL/ELT pipelines and data structures within our cloud data warehouse (Snowflake/Redshift) to support core Business Intelligence.
- Build and optimize workflows for extracting, storing, and retrieving semantic representations of unstructured data to enable advanced search and retrieval patterns.




- Architect and implement lightweight analytics and dashboarding solutions that deliver natural language query experience and AI-backed insights.
- Define and execute processes for managing prompt engineering techniques, orchestration flows, and model fine-tuning routines to power conversational interfaces.
- Oversee vector data stores and develop efficient indexing methodologies to support retrieval-augmented generation (RAG) workflows.
- Partner with data stakeholders to gather requirements for language-model initiatives and translate into scalable solutions.
- Create and maintain comprehensive documentation for all data processes, workflows and model deployment routines.
- Should be willing to stay informed and learn emerging methodologies in data engineering, MLOps and LLM operations.

Requirements:
- Senior Data Engineer with 6-7+ years of experience in building scalable data infrastructure and 1-2 years of hands-on exposure to AI/ML workflows.
- Excellen

📌 Senior Data Engineer (Pune)
🏢 IDT
📍 Pune