Data Engineer

Overview

Data Engineer for Cisco’s Commerce Intelligence Data & Analytics team, focused on end-to-end data and agentic solutions aligned with AI-ready data architecture.

What you'll do

• Develop end-to-end ETL/ELT pipelines for structured and unstructured data into a Golden layer.
• Design and optimize scalable ELT/ETL pipelines to ingest, transform, and publish data into the Snowflake Data Cloud.
• Architect and maintain a reusable semantic layer for AI/agentic solutions, dashboards, and enterprise applications.
• Integrate Snowflake Cortex and other AI/LLM capabilities into data pipelines.
• Build analytics-ready data models using dbt with modular design, testing, and CI/CD integration.
• Lead exploratory data analysis to identify trends and patterns across structured and unstructured datasets.
• Support data quality, compliance, governance, observability, lineage, and access control.

What you'll need

• 8+ years of progressive experience in data engineering.
• 4+ years leading or architecting AI and agentic solutions on platforms like Snowflake, AWS, or GCP.
• Expert-level proficiency and architectural leadership with Snowflake Data Cloud features, security model, and operational best practices.
• Expert-level proficiency in dbt, including automated testing and CI/CD integration.
• Mastery in SQL and Python for scalable data processing, automation, and API integration.
• Extensive experience (7+ years) with leading BI/reporting tools such as Sigma or Power BI.

Details

• Location: Bangalore, India.