数据工程师 - 2025-ENC-ST-000392
DATA ENGINEER - 2025-ENC-ST-000392
你是否热衷于在云端构建可扩展的数据解决方案？我们正在寻找一位具备扎实编程能力并有现代数据工具实战经验的数据工程师，帮助我们开发高质量的指标、数据管道和实时处理系统。
要求
📌 你将带来的技能
✅ 在云环境中设计和构建可扩展数据湖有5年以上经验。
✅ 具备Python或Java的高级编程能力。
✅ 有ETL/ELT数据管道开发经验，最好使用过Airflow。
✅ 精通DBT和数据仓库建模，用于指标开发。
✅ 熟悉实时数据流工具，如Kafka或Google Pub/Sub。
✅ 有大数据处理工具的实战经验，如Hadoop、Spark，或其GCP对应产品（如Dataproc、Dataflow）。
✅ 高级SQL技能——你了解如何编写和优化跨大型数据集的复杂查询。
最初发布于Himalayas
查看英文原文
Are you passionate about building scalable data solutions in the cloud? We’re looking for a Data Engineer with strong programming skills and hands-on experience with modern data tools to help us develop high-quality metrics, pipelines, and real-time processing systems.
Requirements
📌 What You'll Bring
✅ 5+ years of experience in designing and building scalable data lakes in cloud environments.
✅ Advanced programming skills in Python or Java.
✅ Proven experience in ETL/ELT pipeline development, ideally with Airflow.
✅ Expertise in DBT and data warehouse modeling for metrics development.
✅ Solid experience working with real-time data streaming tools like Kafka or Google Pub/Sub.
✅ Hands-on experience with big data processing tools, such as Hadoop, Spark, or their GCP equivalents (e.g., Dataproc, Dataflow). ✅Advanced SQL skills – you know how to write and optimize complex queries across large datasets.
Originally posted on Himalayas