Description

Implement and operationalize AI-enabled data capabilities on Google Cloud to ingest, transform, and distribute data for big data applications.

This role is hybrid.

Responsibilities

• Implement and operationalize modern AI-enabled data capabilities on Google Cloud.
• Leverage AI and agentic frameworks to automate data management, governance, and consumption.
• Collaborate with principal engineers and product managers to roadmap and deliver key data capabilities.
• Support migration from on-premises systems to cloud platforms, ensuring seamless transition and integration.
• Develop and support data flows using Kafka, Flink, and Spark streaming.

Required Skills

• 5+ years of experience in data engineering with cloud solutions.
• Hands-on work with Spark, Kafka, Airflow, Google Cloud Storage, BigQuery, Data Proc, and Cloud Composer.
• Experience using AI tools like LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and MCP.
• Deep understanding of cloud-based data lakes, warehouses, and automated data pipelines.
• Experience developing data flows and automations in large data environments.

Preferred Skills

• Relevant cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics.

Key Skills

Education

Any Graduate