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6 дней назад

Senior Data Platform Engineer

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Uruguay
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 Platform Engineer (Databricks/Snowflake/AWS): Building and operating reliable data platforms and end-to-end pipelines for complex real-world datasets with an accent on data modeling, orchestration, CI/CD, and production operations. Focus on solving large-scale data challenges through partitioning, cost-aware compute sizing, concurrency management, monitoring, and resilient pipeline design.

Location: Roles open in Buenos Aires, Mar del Plata, and Montevideo; the position is for data engineering squads in Argentina.

Company

hirify.global is a Growth Invention company operating at the intersection of technology and marketing, delivering technology, data, brand, media, experience, commerce, and CRM services for global brands.

What you will do

  • Build, operate, and maintain end-to-end data pipelines from ingestion through transformation and modeled, analysis-ready tables.
  • Write and maintain dbt models and SQL transformations on Databricks or Snowflake.
  • Design reusable data models and orchestration patterns with Airflow, Databricks Workflows, or AWS services including Glue, Step Functions, and S3.
  • Own platform monitoring, alerting, incident response, capacity planning, resilience, observability, and cost efficiency.
  • Contribute to CI/CD, automated testing, environment promotion, deployment pipelines, and infrastructure-as-code for data workflows.
  • Work with complex real-world datasets and solve large-scale issues involving partitioning, file layout, compute sizing, concurrency, and pipeline reliability.

Requirements

  • 5–7 years of data engineering experience, including significant experience building or operating a data platform.
  • Strong SQL and solid data modeling skills, including the judgment to challenge models that will not scale.
  • Hands-on experience with Databricks and/or Snowflake.
  • Experience with AWS data services such as S3, Glue, Step Functions, and Lambda.
  • Experience with Airflow or Databricks Workflows and reusable orchestration patterns.
  • Strong understanding of data governance, security, access control, data quality, monitoring, and incident response in production.
  • Experience building CI/CD for data workflows and using Terraform or other infrastructure-as-code tooling.
  • Experience solving operational and cost challenges involving data at scale and working with complex datasets beyond clickstream or e-commerce data.
  • Proficiency in a general-purpose programming language such as Python.
  • Excellent written and verbal English communication, including communication with team members abroad; strong presentation, analytical, problem-solving, stakeholder-management, relationship-building, collaboration, and strategic-thinking skills.

Nice to have

  • Exposure to streaming or document-store technologies such as Kafka or MongoDB.

Culture & Benefits

  • Indefinite employment with a collaborative, curious, action-oriented, and inclusive culture.
  • Work closely with local colleagues in the Buenos Aires and Mar del Plata offices.
  • Premium OSDE healthcare for the employee and immediate family.
  • Monthly grocery, Wi-Fi, electricity, training, and English-class benefits, plus covered Sportclub Plan Total membership and access to Bonda.
  • Flexible vacation policy and support for workplace accommodations.

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