Mutt Data

Data Engineer

Argentina full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€

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 to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

πŸš€ 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

πŸ“Š We are Data Nerds

πŸ€— We are Open Team Players

πŸš€ We Take Ownership

🌟 We Have a Positive Mindset

πŸ” 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! πŸš€

Responsibilities πŸ€“

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-endβ€”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 qualityβ€”review, document, test, and integrate CI/CD.

Required Skills πŸ’»

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,DBS or DBT).

Basic knowledge of Docker.

Experience with orchestration tools like Airflow or Prefect.

Familiarity with ETL processes and automation.

Nice to Have Skills πŸ˜‰

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!

πŸš€ In-Company English Lessons.

πŸ’ͺ Wellhub or sports club stipend to stay active

πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

πŸ• Food credits via Pedidos Ya – because great work deserves great food.

πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)

🀝 Referral bonuses – help us grow the team & get rewarded!

✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Mid
Technology & IT Business Development MySQL Python Remote Collaboration SQL Mid level

Likely questions

  1. Tell us about work you have done that is close to the Data Engineer role.
  2. How would you approach your first 30 days at Mutt Data?
  3. Which of Business Development, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Business Development, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Data Engineer role because I can bring practical experience in Business Development, MySQL and Python, learn the team quickly, and contribute to the outcomes Mutt Data needs from this hire.

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