Eligibility: Singapore Citizen or Singapore PR Holder is a MUST

1. Design, build, and maintain Knowledge Base and RAG solution stacks, including document ingestion, embedding generation, and vector search integration for AI applications.
2. Develop robust, scalable batch and streaming data pipelines (PySpark, Databricks, Kafka) to process large-scale structured and unstructured data.
3. Drive production readiness, CI/CD automation, pipeline monitoring, incident response (RCA), and maintain comprehensive operational runbooks.
4. Ensure all data solution stacks comply with enterprise data security, access control, and regulatory compliance standards.
5. Partner with AI engineers, data scientists, and infrastructure teams to convert business requirements into production-ready data architectures.

1. Citizenship: Singapore Citizen or Singapore PR Holder is a MUST.
2. Experience: 5+ years of hands-on Data Engineering experience in enterprise environments.
3. Core Tech Stack:
4. Platforms & Frameworks: Databricks, Apache Spark / PySpark, Delta Lake, Python, SQL.
5. Streaming & Messaging: Apache Kafka, Event-driven architectures, or Webhooks.
6. AI & Vector Infrastructure: Hands-on exposure to Vector Databases (e.g., ChromaDB, Pinecone, OpenSearch), Embeddings, and RAG/LLM integration frameworks (e.g., LangChain).
7. DataOps & CI/CD: Proficient with GitHub CI/CD pipelines, automated testing, and observability tools (e.g., DataDog, Dynatrace).
8. Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.