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Data Engineer半资深 - Databricks #6

Data Engineer Semi Senior - Databricks #6

开发工程职能支持全球可投
公司Mutt Data
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)。

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Data Engineer Semi Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

🚀 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.
  • Basic/Intermediate level of English.
  • Familiarity with a BI visualization tool like Power BI

Nice to Have Skills 😉

  • Hands-on experience with Databricks (Workflows, Jobs, Repos).
  • Experience with other cloud providers (AWS, GCP)
  • Experience with Kubernetes in production environments.

🎁 Perks

  • 🌍 Remote-first culture – work from anywhere!
  • 🚀 In-Company English Lessons.
  • 💪 Wellhub or sports club stipend to stay active
  • 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • 🍕 Food credits via Pedidos Ya – because great work deserves great food.
  • 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • 🤝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • 👶 Monthly Childcare Reimbursement  – Because supporting families matters too
本页面信息整理自 Lever,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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