Data Engineer
工作标题：数据工程师时间表：每周全职；40小时；星期一至周五率：月60,000 - 100,000菲律宾比索 我们正在寻找一名高技能和经验丰富的数据工程师加入我们的数据工程团队。理想候选人将拥有数据处理和分析方面的强基础，在微软 Azure 的 synapse Analytics 和 Azure 数据工厂中具备专业知识。你将起到我们数据管道架构开发和优化方面至关重要的作用，以及管理和改善跨功能团队的数据流动和收集。责任：· 设计，构建和维护可扩展和可靠的数据管道使用 Azure Synapse Analytics 和 Azure Data Factory. · 与利益相关者密切合作，了解数据需求并实施大型数据分析和报告系统。·确保数据管线中的数据质量和一致性，并实现安全且合规的数据处理程序。·与数据科学家和分析师合作支持数据建模，分析和机器学习项目。·监控和优化数据管线和数据库的性能。要求。·计算机科学，工程，数学或相关领域 （经验 > 教育）本科学士学位。· 具有3年份的数据工程工作经验，专注于微软 Azure 数据服务，特别是 Azure Synapse Analytics 和 Azure Data Factory. · 在 SQL,Python 和其他脚本语言方面的经验证明。·与数据建模，ETL 流程和数据仓库原则的经验。·熟悉 Azure 数据块，Azure 数据湖存储以及 Azure 数据生态系统其他组件是优势。·强大的分析和解决问题技能，能够独立和作为团队的一部分工作的能力。·卓越的沟通能力，并能向非技术利益相关者传递复杂的技术信息。· 电力银行经验也有利。优势 · 从家工作永久性 · AU 早班 · 娱乐和吸引人的文化 原创发布在喜马拉雅
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This is a remote position.
Job title: Data Engineer Schedule: Full time; 40 hours per week; Monday to Friday Rate: 60,000 - 100,000 Philippine Pesos per month
We are seeking a highly skilled and experienced Data Engineer to join our Data Engineering team. The ideal candidate will have a strong foundation in data processing and analytics, with specific expertise in Microsoft Azure's Synapse Analytics and Azure Data Factory. You will play a crucial role in developing and optimizing our data pipeline architecture, as well as managing and improving data flow and collection for cross-functional teams. Responsibilities:
· Design, build, and maintain scalable and reliable data pipelines using Azure Synapse Analytics and Azure Data Factory.
- Work closely with stakeholders to understand data requirements and implement systems for large-scale data analysis and reporting.
- Ensure data quality and consistency across data pipelines and implement secure and compliant data handling procedures.
- Collaborate with data scientists and analysts to support data modelling, analysis, and machine learning projects.
- Monitor and optimize performance of data pipelines and databases.
Requirements
- Bachelor’s degree in computer science, Engineering, Mathematics, or a related field (Experience > Education)
- Minimum of 3 years of experience in a data engineering role with a strong focus on Microsoft Azure data services, particularly Azure Synapse Analytics and Azure Data Factory.
- Proven expertise in SQL, Python, and other scripting languages.
- Experience with data modeling, ETL processes, and data warehousing principles.
- Familiarity with Azure Databricks, Azure Data Lake Storage, and other components of the Azure data ecosystem is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
- Excellent communication skills, with the ability to convey complex technical information to non-technical stakeholders.
- PowerBI experience is also advantageous.
Benefits
- Permanent work from home
- AU morning shift
- Fun and engaging culture
Originally posted on Himalayas