DATA ENGINEER - 2025-ENC-ST-000392
你是否热衷于在云中构建可扩展数据解决方案？我们正在寻找具有强大的编程技能和现代数据工具实践经验的数据工程师，以帮助我们开发高质量的指标，管道和实时处理系统。要求 📌你将带来什么？✅ 5年以上设计和建造云环境中的可扩展的数据湖泊的经验。✅ Python 或 Java 中先进的编程技巧。✅ETL/ELT 管道开发的经验证明，理想情况下是 Airflow. ✅ DBT 和数据仓库建模用于测量开发方面的专业知识。✅与卡夫卡或谷歌 Pub/Sub 等实时流数据工具一起工作的坚实的经验。✅使用大数据处理工具的实践经验，如 Hadoop,Spark 或其 GCP 等级 （例如 Dataproc,Dataflow）. ✅先进 SQL 技能你知道如何在大型数据集中编写和优化复杂查询。最初发布于喜马拉雅山脉
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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