数据工程师 Databricks - 墨西哥
Data Engineer Databricks - Mexico
🚀 加入我们的远程数据产品与机器学习初创公司！ 🚀
在 Muttdata，我们构建创新的数据产品和机器学习解决方案，帮助公司解决复杂的业务挑战。作为一家快速发展的远程优先初创公司，我们对技术、协作和持续学习充满热情。
这个职位是与位于墨西哥城的一家领先的跨国饮料公司合作的。
我们正在寻找一名数据工程师加入我们的团队，为一家位于墨西哥的大型跨国饮料公司开展高影响力项目 🐶🚀。
🚀 我们所做的
- 利用我们的专业知识，为需求规划和预算预测构建现代机器学习系统。
- 开发可扩展的数据基础设施，以增强针对每个客户的高层决策。
- 提供全面的数据工程和定制AI解决方案，优化基于云的系统。
- 使用生成式AI，帮助电商平台和零售商更快地创建更高质量的广告。
- 构建深度学习模型，提升各个行业的视觉识别和自动化能力，改善产品分类、质量控制和信息检索。
- 开发推荐模型，在电商、流媒体和数字平台上个性化用户体验，提高参与度和转化率。
🌟 我们的合作伙伴
- 亚马逊网络服务
- Astronomer
- Databricks
🌟 我们的价值观
- 📊 我们是数据极客
- 🤗 我们是开放的团队合作者
- 🚀 我们有主人翁精神
- 🌟 我们保持积极心态
🔍 想了解我们在做什么吗？查看我们的案例研究，并深入阅读我们的博客文章，了解更多关于我们的文化和我们正在进行的令人兴奋的项目！ 🚀
职责 🤓
- 与团队共同开发批处理和流处理管道、语义模型和转换，在 Databricks 上使用 Python/Spark。
- 定义并维护每个数据产品的数据契约、质量规则和数据 SLO。
- 指导领域团队进行数据建模和数据产品边界（哪些内容属于哪个产品/领域）。
- 对领域工程师/分析师进行培训、指导和配对，帮助他们掌握数据产品所有权和良好的工程实践。
- 收集来自各领域的反馈和最佳实践，并将改进意见反馈到平台模板、工具和模式中。
所需技能 💻
- 具有数据工程经验，包括构建和优化数据管道。
- 具有使用 Databricks、Python 和 Spark 构建批处理和流处理的经验。
- 熟悉 BI
查看英文原文
🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.
This opportunity is with a leading multinational beverage company based in Mexico City.
We are looking for an Data Engineer Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀.
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
- Co-develops batch and streaming pipelines, semantic models, and transformations on Databricks (Python/Spark).
- Defines and maintains data contracts, quality rules, and data SLOs for each data product.
- Guides domain teams on data modeling and data product boundaries (what belongs to which product/domain).
- Trains, mentors and pairs with domain engineers/analysts on data product ownership and good engineering practices.
- Captures feedback and best practices from domains and feeds improvements back into platform templates, tooling, and patterns.
Required Skills 💻
- Experience in Data Engineering, including building and optimizing data pipelines.
- Experience working with Databricks, Python, and Spark, building batch and streaming.
- Familiarity with a BI visualization tool like Looker or Tableau.
Nice to Have Skills 😉
- Feature Store certification (Fundamentals / Expert) and experience with financial data.
- Experience developing AI agents / agentic infrastructure (e.g. Mosaic AI Agent Framework, agent orchestration, MCP).
🎁 Perks
- Remote-first culture – work from anywhere! 🌍
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! 🏖️)
- Referral bonuses – help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team.
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too