Data Engineer Senior

Reposted 14 Days Ago
Hiring Remotely in Argentina
Remote
Mid level
Artificial Intelligence • Information Technology • Machine Learning
The Role
As a Data Engineer at Mutt Data, you will design ETL processes, optimize data systems, and innovate data solutions while collaborating with the team.
Summary Generated by Built In

🚀 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 🤓

  • Collaborate with the team to define goals and deliver custom data solutions.
  • Innovate with new tools to improve Mutt Data's infrastructure and processes.
  • Design and implement ETL processes, optimize queries, and automate pipelines.
  • Own projects end-to-end—build, maintain, and improve data systems while working with clients.
  • Develop tools for the team and assist in tech migrations and model design.
  • Build scalable, high-performance data architectures.
  • Focus on code quality—review, document, test, and integrate CI/CD.

Required Skills 💻

  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
  • Experience working with any cloud (AWS, GCP, Azure).
  • Basic knowledge of Docker.
  • Experience with orchestration tools like Airflow or Prefect.
  • Familiarity with ETL processes and automation.

Nice to Have Skills 😉

  • Experience with stream processing tools like Kafka Streams, Kinesis, or Spark
  • Solid command of English for understanding and communicating technical concepts (Design Documents, etc.)

🎁 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!

Skills Required

  • Experience in Data Engineering, including building and optimizing data pipelines.
  • Strong knowledge of SQL and Python (Pandas, Numpy, Jupyter).
  • Experience working with any cloud (AWS, GCP, Azure).
  • Basic knowledge of Docker.
  • Experience with orchestration tools like Airflow or Prefect.
  • Familiarity with ETL processes and automation.
Am I A Good Fit?
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The Company
Recoleta, Buenos Aires Autonomous City,
99 Employees
Year Founded: 2017

What We Do

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning & AI 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, Databricks, GCP and H2O Consulting Partners. We Are #DataNerds

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