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Data Analytics Senior

MUTT DATA

Role overview

Qualifications

  • 5+ years of experience building production data pipelines
  • Strong experience with PySpark, Delta Lake, and Medallion architectures
  • Hands-on experience with Microsoft Fabric (Lakehouses, Notebooks, Data Pipelines, OneLake)
  • Strong SQL skills (CTEs, window functions, analytical queries)

Responsibilities

  • Build and maintain interactive dashboards and reports in Power BI to support business and operational decision-making
  • Develop and optimize data models, datasets, and semantic layers using Databricks and SQL
  • Design, validate, and automate data transformations to ensure high-quality, reliable reporting
  • Collaborate with Data Engineering and business stakeholders to define reporting requirements and KPIs

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

Links

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Job description

🚀 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 Analytics 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 🤓
  • Build and maintain interactive dashboards and reports in Power BI to support business and operational decision-making.
  • Develop and optimize data models, datasets, and semantic layers using Databricks and SQL.
  • Design, validate, and automate data transformations to ensure high-quality, reliable reporting.
  • Collaborate with Data Engineering and business stakeholders to define reporting requirements and KPIs.
  • Monitor data quality, troubleshoot reporting issues, and ensure consistency across dashboards and data sources.
  • Create and maintain documentation for dashboards, metrics, and reporting processes to support scalability and knowledge sharing.

    • Required Skills 💻
  • 5+ years of experience building production data pipelines.
  • Strong experience with PySpark, Delta Lake, and Medallion architectures.
  • Hands-on experience with Microsoft Fabric (Lakehouses, Notebooks, Data Pipelines, OneLake).
  • Strong SQL skills (CTEs, window functions, analytical queries).
  • Experience building reliable, production-grade pipelines (backfills, reruns, monitoring, late-arriving data).
  • Familiarity with the Azure ecosystem (Blob Storage, Entra ID, Key Vault).
  • Advanced English, with the ability to collaborate effectively in distributed teams.

    • 🎁 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!
    •

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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