Embedded Python Data & Automation Engineer
关于角色 我们正在寻找嵌入式 Python 数据和自动化工程师，以掌握现有 Python 环境，维护生产系统，改进自动化和数据管道，并开发内部工具和集成。关键责任 ·系统转型和知识吸收：影视离开程序员并拥有现有的 Python 代码库。·生产支持和维护：解决现场问题，维护现有系统，确保系统稳定。·数据管道和自动化的：维护，调试，改善数据管线和计划自动化。·API & 集成所有权：维护和扩展 API,第三方集成，身份验证流程和网络链接。·技术债务：识别脆弱系统，无文档依赖性以及技术风险并随时间而改善它们。·文件：创建和维护系统文献，工作流程图表，依赖性地图和操作程序。·内部工具：根据业务需求构建实用自动化工具和内部软件。·工程实践：使用 Git,拉请求，自动测试，变更类型和阶段部署。要求经验&技能 · 3年以上数据中心环境中的专业 Python 体验。· 经验建立或维护生产数据管道和自动化。· 有丰富的 API,集成，身份验证和网络链接经验。· 与现有或遗产代码库工作经验。• SQL 和关系数据库的实操了解。·熟悉 Git,拉取请求，测试和部署工作流程。· 强大的书面英语和技术文档技能。·能够与美国商业时间进行有意义的重叠工作的能力。通常的一天你的日期开始时检查一夜间自动化以及任何开放生产问题。你将集中时间在当前系统中工作，阅读现有代码，运行测试，追踪集成和填补文档空白。在参与初期，你的大部分时间都是在与离开程序员交换会议上。随着过渡过程的成熟，时间转向新的发展：构建自动化，提高管道可靠性或与客户端进行新内部工具的扩展。你主要通过 Slack 通信并参加与美国商业时间一致的规划会议和登记。你提起旗，并在走路上记录文件，
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About the Role
We are looking for an Embedded Python Data & Automation Engineer to take ownership of an existing Python environment, maintain production systems, improve automations and data pipelines, and develop internal tools and integrations.
Key Responsibilities
- System Transition & Knowledge Absorption: Shadow the departing programmer and take ownership of the existing Python codebase.
- Production Support & Maintenance: Troubleshoot live issues, maintain existing systems, and ensure system stability.
- Data Pipelines & Automations: Maintain, debug, and improve data pipelines and scheduled automations.
- API & Integration Ownership: Maintain and extend APIs, third-party integrations, authentication flows, and webhooks.
- Technical Debt: Identify fragile systems, undocumented dependencies, and technical risks and improve them over time.
- Documentation: Create and maintain system documentation, workflow diagrams, dependency maps, and operating procedures.
- Internal Tooling: Build practical automation tools and internal software based on business needs.
- Engineering Practices: Use Git, pull requests, automated testing, changelogs, and staged deployments.
Required Experience & Skills
- 3+ years of professional Python experience in a data-focused environment.
- Experience building or maintaining production data pipelines and automations.
- Strong experience with APIs, integrations, authentication, and webhooks.
- Experience working with an existing or legacy codebase.
- Working knowledge of SQL and relational databases.
- Familiarity with Git, pull requests, testing, and deployment workflows.
- Strong written English and technical documentation skills.
- Ability to work with meaningful overlap with US business hours.
Typical Day
Your day begins with a check on overnight automations and any open production issues. You spend focused blocks working through the current system — reading existing code, running tests, tracing integrations, and filling in documentation gaps. Early in the engagement, a meaningful portion of your time is in handover sessions with the departing programmer. As the transition matures, that time shifts toward new development: building automations, improving pipeline reliability, or scoping a new internal tool with the client. You communicate primarily over Slack and participate in planning sessions and check-ins that align with US business hours. You raise flags early, document as you go, and push changes through staging rather than directly to production.
Interview Process
- Video Interview Screening
- Client Interview
- Offer Stage
Originally posted on Himalayas