数据工程师
Data Engineer
关于客户
我们的客户是一家全球知名的咨询服务和技术咨询公司，提供数字化转型、云服务、数据、人工智能、网络安全和业务运营领域的创新解决方案。公司在多个行业均有显著影响力，以协作的工作文化、前沿技术以及对人才发展的承诺而著称，同时帮助组织解决复杂的业务挑战。
职位概述
我们正在寻找一名数据工程师，负责设计、开发和维护可扩展的数据解决方案和数据管道，以支持企业级分析和业务运营。理想的候选人将使用云技术、现代数据平台和跨职能团队，交付可靠且高质量的数据工程解决方案。
主要职责
- 设计、开发和维护可扩展的数据管道和数据处理解决方案。
- 使用基于云的数据工程工具构建和优化ETL/ELT工作流。
- 从多个源系统中处理和集成数据到企业数据平台。
- 通过遵循软件工程最佳实践，确保数据解决方案的高质量、可靠性和高效性。
- 在敏捷环境中与跨职能团队合作，交付数据项目。
- 支持CI/CD流程、DevOps实践和部署后监控。
- 排查和优化数据工作流，提升性能和可扩展性。
任职要求
- 计算机科学、信息技术或相关领域的学士学位。
- 1–2年数据工程或企业数据处理经验。
- 精通Python、SQL和Shell脚本编程。
- 有ETL/ELT工具和云平台（如Google Cloud Platform（GCP）或AWS）的经验。
- 熟悉关系型和非关系型数据库、数据仓库以及分布式数据处理。
- 熟悉CI/CD工具、Git、敏捷方法论和DevOps实践。
- 具备较强的分析能力、解决问题能力和沟通能力，对数据工程充满热情。
有兴趣的候选人请将简历发送至
最初发布于Himalayas
查看英文原文
About the Client
Our client is a globally recognized professional services and technology consulting organization, delivering innovative solutions in digital transformation, cloud, data, artificial intelligence, cybersecurity, and business operations. With a strong presence across multiple industries, the company is known for its collaborative work culture, cutting-edge technologies, and commitment to developing talent while helping organizations solve complex business challenges.
Job Overview
We are looking for a Data Engineer to design, develop, and maintain scalable data solutions and pipelines that support enterprise-level analytics and business operations. The ideal candidate will work with cloud technologies, modern data platforms, and cross-functional teams to deliver reliable and high-quality data engineering solutions.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and data processing solutions.
- Build and optimize ETL/ELT workflows using cloud-based data engineering tools.
- Process and integrate data from multiple source systems into enterprise data platforms.
- Ensure high-quality, reliable, and efficient data solutions by following software engineering best practices.
- Collaborate with cross-functional teams in an Agile environment to deliver data projects.
- Support CI/CD processes, DevOps practices, and post-deployment monitoring.
- Troubleshoot and optimize data workflows for performance and scalability.
Qualifications
- Bachelor's Degree in Computer Science, Information Technology, or a related field.
- 1–2 years of experience in data engineering or enterprise data processing.
- Strong programming skills in Python, SQL, and Shell scripting.
- Experience with ETL/ELT tools and cloud platforms such as Google Cloud Platform (GCP) or AWS.
- Knowledge of relational and NoSQL databases, data warehousing, and distributed data processing.
- Familiarity with CI/CD tools, Git, Agile methodologies, and DevOps practices.
- Strong analytical, problem-solving, and communication skills with a passion for data engineering.
Interested candidates may send their CV to
Originally posted on Himalayas