Data Engineer Semi Senior - Databricks

Lever, Inc.

Argentina

A distancia

ARS 90.547.000 - 150.912.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Remote-first culture
English Lessons
Wellhub or sports club stipend
Cloud certifications covered
Food credits
Birthday off
Referral bonuses
Annual Mutters' Trip
Monthly childcare reimbursement

Descripción de la vacante

Mutt Data is a dynamic startup delivering cutting-edge Big Data and Machine Learning solutions, now seeking a Data Engineer Semi Senior to help scale our data platforms from home-based collaboration. You will co-develop batch and streaming pipelines and shape data contracts that empower product teams across clients.

Join a remote-first culture with English lessons, stipends, and certifications coverage. Bring hands-on experience in Databricks, Python, Spark, and BI tools to advance our analytics

Formación

  • Experience in data engineering, building and optimizing data pipelines.
  • Experience with Databricks, Python and Spark for batch and streaming.
  • English proficiency at a basic to intermediate level.
  • Familiarity with BI tools like Looker or Tableau.

Responsabilidades

  • 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.
  • 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.

Conocimientos

Data Engineering
Databricks
Python
Spark
English (Intermediate)

Herramientas

Looker
Tableau

Descripción del empleo

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

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