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Muttdata

Posted 1 month ago

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Data Engineer Semi Senior - Databricks

ArgentinaRemote

AI Summary

Data Engineer Semi Senior at Muttdata builds batch and streaming pipelines, semantic models, and transformations on Databricks using Python and Spark. Defines data contracts, quality rules, and SLOs, and mentors domain engineers on data product ownership.

About this role

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Mutt Data 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 Looker or Tableau.

    • 🎁 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

    • Skills

    AWSAzureBatch PipelinesDatabricksData ContractsData ModelingData QualityDbtGCPLookerPythonSLOsSparkStreaming PipelinesTableau

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