12 дней назад
Senior Data Engineer (Java Spark Cloud-Native Applications)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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