Description

You design, build, and operationalize AI-enabled data capabilities on Google Cloud Platform.

This role is on-site.

Responsibilities

• Architect and maintain scalable data ingestion, transformation, and distribution pipelines.
• Implement AI and agentic frameworks (LangChain, LangGraph) to automate data governance and management.
• Design and optimize Data Lakehouse architectures using Python, PySpark, and BigQuery.
• Collaborate with product managers and principal engineers to roadmap data solutions.
• Drive innovation by integrating new cloud technologies into the cybersecurity data ecosystem.

Required Skills

• 5+ years of data engineering experience with cloud data solutions.
• 3+ years of experience with Data Lakehouse architecture and design.
• Proficiency in Python, PySpark, Kafka, Airflow, and Google Cloud Storage.
• Hands-on experience with AI tools: LangChain, LangGraph/ADK, RAG, GraphRAG, and MCP.
• Strong background in Spark-based ingestion and processing.
• Experience developing data flows using Kafka, Flink, and Spark streaming.
• Proficiency with Google Cloud DataProc and Cloud Composer.
• Strong problem-solving skills and ability to work in an agile environment.

Key Skills

Education

Any Graduate