Mid/Sr. Data Engineer (Azure/AWS, ML, English)

QUALIFICATIONS / EXPERIENCEBachelor’s degree or above, major in computer or IT.3+ years of data delivery project experience.Experience in spark / spark streaming / Flink / Kafka ecological environment development, proficient in basic knowledge and data development technology related to data processing, relevant experience in real-time data processing, familiar with fluent is preferred.,Good competent in software engineering, have a solid knowledge of ML/Deep Learning models and workflows.Good understanding of DevOps/MLOps principlesExperience in ML CI/CD/CT operationalization, deployment automation and container/orchestration platforms under Microsoft Azure technologies such as Azure Pipelines, Azure Kubernetes Service (AKS), Azure Container Service (ACS), Azure Container Registry, Azure ML CLI and Azure Git.Hands-on experience on Azure Data Management Solution including Azure Data Factory, Azure Databricks, Azure Blobstorage (Gen2), Azure Synapse and Azure Machine Learning Studio.Experience of PowerBI is preferredKNOWLEDGE & TECHNICAL SKILLSBe familiar with the construction and design of enterprise data warehouse, have experience in management and design of large-scale data warehouse, and be familiar with data modelling methodology. Familiar with big data ecosystem, have a certain understanding of big data technology ecosystem;Solid understanding on Azure Data Management Solution including Azure Data Factory, Azure Databricks, Azure Blobstorage (Gen2), Azure Synapse and Azure Machine Learning Studio.Strong sense of responsibility, meticulous work, conscientious and practical work, and strong ability of hands-on and learning new technology;Has AI model development and deployment experience Good communication skills, good English listening, speaking, reading and writing skillsWorking experience in insurance industry is preferred