Data Engineer

3 hours ago

Singapore Keyrus Full time

Overview Get AI-powered advice on this job and more exclusive features. Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3,500 employees spread across 25 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more. As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges. We are seeking a skilled and forward-thinking Data Engineer with strong experience in Databricks and exposure to Generative AI (GenAI)projects. In this role, you will build and optimize data pipelines that serve as the foundation for our GenAI-powered solutions. This is a unique opportunity to sit at the intersection of modern data engineering and cutting-edge AI innovation , helping to bring scalable GenAI solutions to life. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL processes using Databricks , Apache Spark , and Delta Lake . Develop and optimize data ingestion workflows for structured and unstructured sources (e.g., text, PDFs, APIs, logs). Collaborate with AI/ML engineers to supply clean, ready-to-use data for LLM fine-tuning , prompt engineering , and embedding generation . Build and monitor data workflows using MLflow , Unity Catalog , and Databricks Workflows . Work with GenAI frameworks like LangChain , LlamaIndex , OpenAI , or Azure OpenAI to integrate and operationalize LLM use cases. Partner with stakeholders (Data Scientists, Product Managers, ML Engineers) to ensure data readiness for GenAI product development. Required Skills & Experience 2+ years of experience as a Data Engineer or similar role. Strong hands-on experience with Databricks (SQL, Spark, Delta Lake, MLflow). Proven ability to build production-grade data pipelines and manage large-scale data processing . Exposure to Generative AI projects, such as: working with LLMs (OpenAI, Hugging Face, Cohere), building pipelines for RAG , embeddings , or chatbots , managing vector databases and LLM-related infrastructure Strong proficiency in Python and SQL. Seniority level Not Applicable Employment type Full-time Job function Information Technology Industries Hospitals and Health Care Referrals increase your chances of interviewing at Keyrus by 2x Get notified about new Data Engineer jobs in Singapore, Singapore . We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

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