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12 дней назад

Senior Data Engineer (Java Spark Cloud-Native Applications)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Portugal/Europe
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 (Java Spark Cloud-Native Applications): Building a robust Spark-based data processing platform and scalable batch data pipelines with an accent on Java, cloud-native deployment, and performance optimization. Focus on designing high-performance processing applications, integrating relational and object storage, and solving complex workflow and scalability challenges.

Location: Lisbon, Portugal; hybrid work with up to 3 days remote per week. Candidates must have an existing legal right to work in Europe.

Company

hirify.global delivers technology solutions for clients, including data-driven and cloud-native platforms.

What you will do

  • Design and develop high-performance Apache Spark applications for batch data processing.
  • Build scalable data pipelines using Java 9+ and Spring.
  • Implement cloud-native deployments with Docker and Kubernetes.
  • Optimize performance and troubleshoot complex data workflows.
  • Work with PostgreSQL, Oracle ExaCC, S3, and Spark SQL.
  • Contribute to CI/CD pipelines, code reviews, solution design, and knowledge sharing.

Requirements

  • At least 8 years of Java/J2EE development experience, preferably in data processing.
  • At least 1 year of hands-on Apache Spark experience.
  • Strong experience with cloud-native applications, Docker, Kubernetes, modern Java features, and transactional SQL.
  • Knowledge of PostgreSQL, Oracle ExaCC, S3, Maven, GitLab, and Liquibase.
  • Fluent English and French at B2 level are required.
  • Existing legal authorization to work in Europe is required.

Nice to have

  • Experience with Argo Workflow.
  • Additional French language experience at B2 level.

Culture & Benefits

  • Hybrid work model with up to three remote days per week.
  • Dynamic and multicultural working environment.
  • Opportunity to contribute to scalable data solutions and cloud-native technologies.

Hiring process

  • Submit a CV in English or Polish.
  • Include confirmation of consent to the processing and storage of personal data.

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