Description

What's the Job?

• Design, develop, and operationalize modern AI-enabled data capabilities on Google Cloud platform.
• Create 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 capabilities.
• Collaborate with cross-functional teams including 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.

What's Needed?

• Recent hands-on experience with AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and MCP for data capabilities.
• Minimum of 5 years of experience in data engineering, including working with cloud data solutions like Spark-based ingestion and processing.
• At least 3 years of experience with Data Lakehouse architecture and design, utilizing Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, DataProc, and Cloud Composer.
• Proficiency in developing data flows using Kafka, Flink, and Spark streaming technologies.
• Strong problem-solving skills, adaptability, and ability to work effectively within a collaborative, agile environment

Key Skills

Education

Any Graduate