Cloud Data Engineer

2 weeks ago

Singapore beBeeDataEngineer Full time $120,000 - $160,000

Job Title: Cloud Data Engineer

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As a cloud data engineer, you will design, develop, and maintain scalable cloud-based data pipelines to ingest, transform, and integrate data from multiple sources for cybersecurity applications.

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You will work with cross-functional teams to deliver secure, scalable, and impactful AI solutions using cloud platforms (AWS, Azure, GCP) with containerization skills (Docker, Kubernetes). Experience with CI/CD practices and tools (Git preferred), vector database technologies (Pinecone, PGVector, FAISS), and data warehousing (Amazon Redshift, Google BigQuery) is advantageous.

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Key Responsibilities:

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  • \
  • Develop and maintain cloud-based data pipelines to ingest, transform, and integrate data from multiple sources.\
  • Build and manage interactive dashboards (e.g., Tableau or equivalent) for monitoring and reporting on security analytics.\
  • Integrate LLM APIs via LangChain and leverage Cloud AI services to enhance AI-driven agent capabilities in security workflows.\
  • Design, deploy, and manage vector databases (e.g., Pinecone, PGVector, FAISS) to support AI search and retrieval tasks.\
  • Create agentic workflows using LangChain and open-source tools (e.g., Flowise) to automate complex cyber operations.\
  • Implement human-in-the-loop approval processes for critical decision validation.\
  • Orchestrate agent-to-agent workflows to enable autonomous collaboration between AI agents.\
  • Apply prompt engineering best practices to optimize LLM performance for cybersecurity use cases.\
  • Implement and maintain CI/CD pipelines using Git for integration, deployment, and testing of AI solutions.\
  • Deliver end-to-end solutions—from experimentation to production—for SOC automation, detection, and human-in-the-loop processes.\
  • Collaborate with cross-functional teams to deliver secure, scalable, and impactful AI solutions.\
    • \
    • Education: Bachelor's degree or higher in Computer Science, Data Science, Machine Learning, or related field.\
    • Experience:\

      2–3 years' hands-on experience in:

      Python, LangChain, NLP, and Computer Vision.

      Building and deploying AI/LLM-powered applications and agentic workflows.

      Vector database technologies (Pinecone, PGVector, FAISS).

      CI/CD practices and tools (Git preferred).

      Cloud platform expertise (AWS, Azure, or GCP) with containerization skills (Docker, Kubernetes).

      Experience with Cloud AI services (AWS SageMaker/Bedrock or Google Vertex AI).

      Advantageous: Familiarity with data warehousing (Amazon Redshift, Google BigQuery) and open-source automation tools (Flowise).\
    • Other: Proficiency in English.\
      • \
      • Technical Skills:\
        • \
        • Python programming\
        • LangChain\
        • Natural Language Processing (NLP)\
        • Computer Vision\
        • Vector databases (Pinecone, PGVector, FAISS)\
        • CI/CD tools (Git)\
        • Cloud platforms (AWS, Azure, GCP)\
        • Containerization (Docker, Kubernetes)\
        • Cloud AI services (AWS SageMaker/Bedrock, Google Vertex AI)\
        • Data warehousing (Amazon Redshift, Google BigQuery)\
        • Data pipeline development\
        • Dashboard development (Tableau or equivalent)\
        • Open-source automation frameworks (Flowise)\
          • \

How to Apply:

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If you believe you fit the requirements for this role, please submit your application below.

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Due to an anticipated high volume of applicants, we regret that only shortlisted candidates will be notified. The information provided is for recruitment purposes only.

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We evaluate qualified applicants without regard to race, colour, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

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