Description

You will design, build, and scale AI-powered data platforms on Google Cloud, enabling efficient ingestion, transformation, and governance for enterprise applications.

This role is on-site.

Responsibilities

• Develop cloud-native data pipelines and platforms on Google Cloud, ensuring scalability and operational excellence.
• Build AI-enabled capabilities using LangChain, LangGraph, and Model Context Protocol (MCP) to automate data management and governance.
• Implement streaming and batch processing solutions using Spark, Kafka, and Flink to support large-scale analytics.
• Collaborate with principal engineers and product managers to define technical roadmaps and architectural decisions.
• Ensure data quality, security, and compliance across all data infrastructure and services.

Required Skills

• 5+ years of experience in software or data engineering.
• Proficiency in Python and distributed processing frameworks like Spark or PySpark.
• Experience with Google Cloud Platform services: BigQuery, Cloud Storage (GCS), Dataproc, and Cloud Composer.
• Strong background in building Data Lakehouse architectures and modern data platforms.
• Hands-on experience with Kafka, Flink, or similar streaming technologies.
• Ability to design agent-based solutions using RAG and GraphRAG techniques.

Preferred Skills

• Experience with AI agentic frameworks such as LangChain, LangGraph, or Agent Development Kit (ADK).
• Deep understanding of data governance, metadata management, and regulatory compliance.

Key Skills

Education

Any Graduate