高级数据工程师
Senior Data Engineer
Engagement: 自由职业 / 长期合作 / SRL 或 PFA
Location: 远程
职位描述
我们正在寻找一位经验丰富的高级数据工程师，加入一个国际项目，为一家在全球数字预订和预订领域运营的全球性组织工作。客户构建大规模、高性能的平台和 API，重点关注云原生架构、可扩展性和数据驱动的解决方案。
在该职位中，您将负责设计、构建和维护现代数据平台，同时与工程和产品团队紧密合作，开发实际的、面向客户的系统。
您的背景
- 具有高级数据工程师的丰富经验
- 熟练掌握 Snowflake 作为云数据平台
- 精通 Python 和 SQL
- 具有 AWS RDS / Aurora 的实际操作经验
- 熟悉 PostgreSQL
- 从数据工程角度使用 Tableau（支持分析和报告层）
- 能够在国际化的跨职能团队中高效工作
您的职责
- 设计、构建和维护可扩展、高性能的数据管道和数据平台
- 从数据工程的角度支持和优化现代预订平台和 API
- 在 AWS 上开发和维护基于云的数据架构
- 确保系统中的数据质量、性能、可靠性和可扩展性
- 与软件工程师、分析团队和产品利益相关者密切合作
- 参与架构决策和持续改进计划
技术环境
您将使用现代且多样化的技术栈，包括：
- Python、SQL、Java、NodeJS、Go
- Snowflake
- Kafka
- Docker、Kubernetes
- AWS
- GitLab
- Apigee
您可以期待
- 高级职位的主导权和技术影响力
- 使用现代云和数据技术的复杂、实际项目
- 协作性强、国际化的办公环境
- 成长、创新和影响技术方向的机会
最初发布于 Himalayas
查看英文原文
Engagement: Freelance / long-term / SRL or PFA
Location: Remote
About the Role
We are looking for an experienced Senior Data Engineer to join an international project for a global organization operating in the digital booking and reservation domain. The client builds large-scale, high-performance platforms and APIs, with a strong focus on cloud-native architectures, scalability, and data-driven solutions.
In this role, you will take ownership of designing, building, and maintaining modern data platforms while working closely with engineering and product teams on real-world, customer-facing systems.
Your Profile
- Strong experience as a Senior Data Engineer
- Solid expertise in Snowflake as a cloud data platform
- Advanced proficiency in Python and SQL
- Hands-on experience with AWS RDS / Aurora
- Strong knowledge of PostgreSQL
- Experience with Tableau from a data engineering perspective (supporting analytics and reporting layers)
- Ability to work effectively in international, cross-functional teams
Your Responsibilities
- Design, build, and maintain scalable, high-performance data pipelines and data platforms
- Support and optimize modern booking platforms and APIs from a data engineering standpoint
- Develop and maintain cloud-based data architectures on AWS
- Ensure data quality, performance, reliability, and scalability across systems
- Collaborate closely with software engineers, analytics teams, and product stakeholders
- Contribute to architectural decisions and continuous improvement initiatives
Technology Environment
You will work with a modern and diverse technology stack, including:
- Python, SQL, Java, NodeJS, Go
- Snowflake
- Kafka
- Docker, Kubernetes
- AWS
- GitLab
- Apigee
What You Can Expect
- Senior-level ownership and technical impact
- Complex, real-world projects using modern cloud and data technologies
- A collaborative, international working environment
- Opportunities to grow, innovate, and influence technical direction
Originally posted on Himalayas