远程工作雷达

数据分析师工程师

Data Analytics Engineer

开发工程职能支持全球可投
公司muttdata
薪资未公开
工作地点Remote
地域资格全球可投
时区要求无特别要求
用工类型Remote - Latam
发布时间未知
数据来源Lever
前往企业招聘页投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

🚀 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。

我们正在寻找一位具有 builder 思维的数据分析工程师加入我们的团队 🐶🚀。这个机会是与位于墨西哥城的一家大型跨国饮料公司合作,您将参与高影响力的与数据相关的项目。

🚀 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,根据每个客户的需求提升高级决策能力。
  • 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,增强各行业的视觉识别和自动化,提高产品分类、质量控制和信息检索。
  • 开发推荐模型,在电商、流媒体和数字平台中个性化用户体验,提升参与度和转化率。

🌟 我们的合作伙伴

  • Amazon Web Services
  • 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
  • 🌟 我们有积极的心态

🔍 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以及我们正在开展的令人兴奋的项目! 🚀

职责 🤓

  • 参与技术迁移,将当前 Power BI 仪表板的数据源替换为新的数据湖视图。
  • 确保数据的完整性和一致性,验证源系统和 Power BI 报表之间的行数和数据量,以防止数据量差异。
  • 验证并交叉核对高度敏感、业务关键的指标,例如覆盖数百万用户的数据显示和与可变薪酬相关的数据。
  • 设计和优化复杂的逻辑和 DAX 查询,避免简单的模式复制,确保业务关键平台的稳健性。
  • 与技术支持和仪表板设计人员密切合作,交付稳健且视觉精美的输出。

要求 💻

  • 具有在 Unity C 中开发和配置的经验
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.

We are looking for a builder-minded Data Analytics Engineer to join our team 🐶🚀. This opportunity is to work with a major multinational beverage company based in Mexico City, where you will participate in high-impact data-related projects.

🚀 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 🤓

  • Participate in the technical migration, replacing the sources that feed current Power BI dashboards with the new migrated Datalake views.
  • Ensure data integrity and consistency, validating row counts and volumes between source systems and Power BI reports to prevent volumetric discrepancies.
  • Validate and cross-check highly sensitive, business-critical metrics, such as data covering millions of users and figures tied to variable compensation.
  • Design and optimize complex logic and DAX queries, avoiding simple schema copies and ensuring the robustness of business-critical platforms.
  • Collaborate closely with technical support and dashboard design profiles to deliver robust, visually polished outputs.

Required 💻

  • Experience developing and configuring in Unity Catalog and SQL Editor, with solid knowledge of Databricks.
  • Advanced command of Power BI, including complex data modeling, advanced DAX, and business logic design.
  • Strong SQL skills and advanced query logic, with the technical sensitivity needed to handle and validate complex sources.
  • Demonstrated autonomy and proactivity to operate independently against complex data sources under defined deadlines.

Nice to Haves 💻

  • Previous experience in business-critical (mission-critical) data migration projects.
  • Experience validating large-scale volumetric data (row counts, null counts, distinct value counts) between source and destination systems.
  • Experience working under tight, deadline-driven project timelines.

🎁 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 to.
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