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Key Responsibilities:
- Design and implement enterprise data architectures for batch and real-time processing.
- Build AI-ready data pipelines, RAG infrastructure, and vector search using Generative AI technologies.
- Leverage Treasure Data CDP, Kafka, Snowflake/Databricks, and cloud platforms to deliver production-grade solutions.
Required Experience:
- 10+ years in data engineering/architecture with strong ETL/ELT, Python, and SQL.
- Hands-on Treasure Data / CDP and enterprise data warehouse/lakehouse experience.
- Real-time analytics, event-driven architecture, streaming pipelines, and Apache Kafka.
Preferred Qualifications:
- Experience with CDC/Debezium and incremental processing.
- Generative AI data engineering with LangChain, LangGraph, AI Agents, Azure OpenAI, AWS Bedrock.
- Production-grade architecture design, not just maintenance.