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обновлено 7 дней назад

Mid Data & Software Engineer (Scala/Spark)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Mid Data & Software Engineer (Scala/Spark): Building and operating highly scalable, cloud-native data pipelines and platforms for petabyte-scale workloads with an accent on distributed processing, resiliency, and performance. Focus on optimizing parallel data workloads, improving cost efficiency and reliability, and supporting production releases and monitoring.

Location: Home-based in Brazil, with availability to travel to São Carlos, São Paulo, when needed.

Company

hirify.global is a global data and technology company providing data-driven solutions across financial services, healthcare, automotive, agribusiness, insurance, and other markets.

What you will do

  • Design, develop, and maintain large-scale data pipelines using Scala, Apache Spark, and cloud-native technologies.
  • Build resilient distributed systems and optimize highly parallelized data processing workflows.
  • Develop production-grade, tested, documented code and contribute to end-to-end feature delivery.
  • Collaborate with engineers, product owners, and cross-functional stakeholders in agile value stream teams.
  • Contribute to architecture discussions, code reviews, technical guidance, deployments, monitoring, and alerting.
  • Improve the performance, cost efficiency, scalability, and reliability of petabyte-scale workloads.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Solid software or data engineering experience and hands-on experience with cloud-native data platforms such as AWS, GCP, or Azure.
  • Experience with services such as S3, Glue, Athena, or equivalent, as well as distributed systems, resiliency patterns, data partitioning, and efficient data access.
  • Experience designing and operating highly parallelized data workloads.
  • Proficiency with Git-based version control and familiarity with agile, multi-team development.
  • Advanced English proficiency and availability to travel to São Carlos, São Paulo, when needed are required.

Nice to have

  • Experience with dbt or other data transformation frameworks.
  • Knowledge of concurrent and parallel programming patterns.
  • Expertise with Scala and Apache Spark for large-scale data pipelines.
  • Experience with functional programming or Java, Python, or Rust.
  • Familiarity with modern data platform architectures and large-scale data ecosystems.

Culture & Benefits

  • Work in a global organization with 25,200 employees across 32 countries.
  • People-centric, inclusive, and purpose-driven culture.
  • Initiatives supporting inclusive recruitment and professional development.
  • Affinity groups supporting LGBTQIAPN+ employees, racial equity, gender equity, people with disabilities, and generational inclusion.

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