【成都 Senior Full-stack Engineer (Data & AI) 招聘】-猎头顾问成都招聘信息-猎聘

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人力资源助理 · 伯揽人力资源（上海）有限公司

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职位介绍: Overview • The Asia Data Office is looking for an experienced Senior Full-stack Engineer to support regional data and AI initiatives. This role is ideal for a hands-on engineer who can design and build robust data pipelines, contribute to enterprise data platforms, and develop user-friendly internal applications that improve data accessibility, operational visibility, and business insight. • The successful candidate will work closely with cross-functional teams to deliver scalable, reliable, and secure data solutions across cloud-based platforms. The role requires strong data engineering capability, practical full-stack development experience, and an interest in applying AI and GenAI technologies to improve productivity, automation, and data-driven decision-making. Key Responsibilities 1. Data Engineering & Pipeline Development • Design, build, enhance, and maintain scalable ETL/ELT data pipelines for ingestion, transformation, validation, and delivery across enterprise platforms. • Implement data solutions using technologies such as Spark, Python, Azure Data Factory, Azure Synapse, Azure Databricks, and other cloud-native data services. • Integrate data from multiple sources into target platforms including Enterprise Data Lake (EDL), data warehouses, etc. • Apply data quality controls, reconciliation checks, automated testing, and monitoring to ensure data accuracy, consistency, and reliability. • Support batch and streaming data use cases where required, including event-based integration patterns. 2. Full-Stack Application Development • Design and develop lightweight internal web applications, dashboards, metadata tools, and utilities that enable business to interact with datasets, data flows, and data services. • Build responsive frontend components using frameworks such as React, Vue, Angular. • Develop backend services and APIs using technologies such as FastAPI, Flask, Node.js. • Integrate applications with EDL, databases, data pipelines, APIs, and other services. • Collaborate with business teams and UX/UI partners to translate requirements into, intuitive, user-friendly and practical internal tools. 3. AI, AA & BI Enablement • Prepare, curate, structure and deliver datasets, data pipelines, data products to support BI reporting, advanced analytics, machine learning, and GenAI use cases. • Integrating AI capabilities into internal tools or workflow automation. • Experimenting with GenAI-assisted data discovery, documentation, code generation, data quality checks, data privacy, security, governance, etc. Skills and Qualifications • Proficient understanding of distributed computing principles • Good Knowledge of Hadoop cluster, Azure, with all included services • Experience with Azure ADLS, Data Factory, Databricks, Event Hubs • Experience with data engineering projects like integration of data from multiple data sources to a target system • Good knowledge of data querying tools, such as Azure Synapse Analytics, Databricks SQL Warehouse • Knowledge in data streaming such as Spark Streaming, Flink, etc. • Knowledge in Python or other programming language • Experience in SQL and NoSQL database such as Azure SQL, Cosmos, MongoDB, etc. • Knowledge in any Change Data Capture (CDC) solutions such as Debezium is an advantage • Experience in working on Agile projects is an advantage • Experience in Azure Cloud or other Cloud platforms is an advantage Education and experience • Bachelor's degree preferably in Computer Science or Data/Engineering related courses • 10+ years in one or more of the following, Data Engineer, Back-end Engineer, Full-stack Engineer, SDE • Recognized qualification in Service Management helpful • ITIL certification helpful • Project management experience is an advantage • AI-related experience is an advantage • Understanding of the insurance and/or financial industry is an asset

其他信息: 语言要求：普通话 + 英语; 行业要求：人力资源服务

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