Description

Design, develop, and operationalize AI-enabled data capabilities on Google Cloud Platform, focusing on ingestion, transformation, and distribution for large-scale applications.

This role is on-site.

Responsibilities

• Build and support data ingestion, transformation, and distribution processes for large-scale data applications.
• Leverage AI and agentic frameworks to automate data management, governance, and consumption.
• Collaborate with principal engineers, product managers, and data engineers to roadmap and deliver key data solutions.
• Drive innovation by exploring and implementing new cloud and data technologies to enhance the cybersecurity data ecosystem.

Required Skills

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

Preferred Skills

• Experience with cybersecurity data ecosystems.
• Background in designing scalable data lakehouse architectures.

Key Skills

Education

Any Graduate