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Senior Data Engineer (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Data Engineer (Databricks/AI): Building and optimizing scalable data solutions and reliable pipelines to support Journey Analytics with an accent on code maintainability and modular component design. Focus on refactoring legacy codebases, designing scalable data models, and automating data pipelines in Databricks.

Location: Buenos Aires, Argentina

Company

hirify.global is a premier AI services provider committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.

What you will do

  • Maintain, optimize, and automate existing code repositories in GitHub.
  • Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.
  • Design and build modular, reusable code components to support multiple journeys.
  • Develop and manage automated data pipelines in Databricks for Journey Analytics and reporting.
  • Consolidate KPIs, metrics, and attributes into standardized and scalable data structures.
  • Collaborate with analytics and engineering teams to improve data processes and architecture.

Requirements

  • Strong experience working with GitHub repositories and version control workflows.
  • Hands-on experience developing and maintaining data pipelines in Databricks.
  • Proven experience refactoring and maintaining legacy codebases.
  • Strong understanding of data modeling and reusable component design.
  • Ability to work independently and take ownership of initiatives with minimal supervision.
  • Must be based in Buenos Aires, Argentina.

Nice to have

  • Experience using Genie (Databricks).
  • Certifications in AWS, Databricks, or Snowflake.

Culture & Benefits

  • Certification support for AWS, Databricks, and Snowflake.
  • Access to AI learning paths and Udemy Business for technical and soft skills.
  • English lessons to support professional communication.
  • Travel opportunities to attend industry conferences and meet clients.
  • Flexible working options and structured career development plans with mentorship.
  • Company-provided equipment and special day rewards for personal milestones.

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