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Data Engineer Semi Senior - Databricks

1 week, 4 days ago
Argentina
Full-time
Mid Level
Data Engineer
Software Development
Apache Spark AWS Azure Databricks dbt Deep Learning GCP Generative AI Looker Machine Learning Python Tableau
Apply Now
MUTT DATA

MUTT DATA

MUTT DATA specializes in creating and implementing custom machine learning and AI solutions that enhance business performance through automated systems and cost-efficient data architectures.

Internet Software & Services
51-250
Founded 2017
View All Jobs 16

Description

  • Co-develop batch and streaming pipelines, semantic models, and transformations using Databricks, Python, and Spark.
  • Define and maintain data contracts, quality rules, and data service-level objectives for data products.
  • Guide domain teams on data modeling and data product boundaries.
  • Train, mentor, and pair with domain engineers and analysts on data ownership and engineering practices.
  • Collect domain feedback and incorporate improvements into platform templates, tooling, and engineering patterns.

Requirements

  • Experience in data engineering, including building and optimizing data pipelines.
  • Experience with Databricks, Python, and Spark for batch and streaming workloads.
  • Basic to intermediate English proficiency.
  • Familiarity with a business intelligence visualization tool such as Looker or Tableau.
  • Experience with data modeling, data quality practices, or data product development is beneficial.
  • Experience with cloud data platforms or machine learning systems is beneficial.

Benefits

  • Remote-first work environment with location flexibility.
  • Company-provided English lessons.
  • Wellhub or sports club stipend.
  • Fully covered AWS, dbt, Google Cloud, Azure, and Databricks certifications.
  • Food credits through Pedidos Ya.
  • Birthday day off plus an additional vacation week.
  • Referral bonuses and an annual team trip.
  • Monthly childcare reimbursement.

Interested in this position?

Apply directly on the company website

Apply Now

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