AI Data Engineer III

Overview

AI Data Engineer III responsible for leading and implementing data engineering and AI-powered self-service capabilities on a data platform.

What you'll do

• Lead exploration and implementation of AWS and big data technologies for the data platform.
• Architect solutions for analytical use cases with Data Engineers, BI Analysts, and Data Scientists.
• Design and implement multi-agent data workflows for ingestion, transformation, quality validation, and distribution.
• Define specifications, acceptance criteria, and quality gates for reliable automated execution.
• Drive adoption of LLM-augmented data capabilities including RAG pipelines and semantic search.
• Enable AI-assisted self-service experiences for internal consumers.

What you'll need

• 7+ years of professional experience as a Senior Data Engineer.
• Experience with hybrid Data Lake and Data Warehouse architectures.
• Strong record of end-to-end automation of data models from source systems to analytical dashboards using ELT methodologies.
• Expertise with Redshift and/or Snowflake analytical cloud data warehouses.
• Experience with dbt for data transformation.
• Advanced proficiency in Python and SQL.

Details

• Location: Bengaluru, Karnataka, India.