Data Engineer, VP

Overview

Data Engineer, Vice President level role focused on building data-driven solutions and pipelines to support decision-making.

What you'll do

• Develop data pipelines, modeling, and ETL design for reusable data solutions.
• Build automation for data engineering pipelines by removing manual stages.
• Apply new data techniques using role modeling, training, and experiment design oversight.
• Develop solutions for streaming data ingestion and transformations.
• Source new data using appropriate tooling for the situation.
• Drive scalable data architecture through complex data engineering tasks.

What you'll need

• Experience extracting value and features from large-scale data.
• Practical experience with programming languages and data/software engineering fundamentals.
• Expertise designing and building AI agent architectures (planning loops, tool integration, memory management, multi-turn conversations, RAG, prompt engineering, grounding, output validation).
• Experience building MCP servers/clients, APIs, microservices, async processing, queues, containers, and CI/CD, and integrating AI with enterprise systems and data platforms.
• Proficiency in cloud-native infrastructure, deployment, scaling, IAM, secrets management, networking, observability, cost optimization, and secure production AI operations.
• Ability to build evaluation frameworks, automated testing/regression controls, guardrails/compliance measures, auditability, and model governance.

Details

• Location: Chennai.
• Hours: 45.