4 дня назад
Senior Java Backend Engineer – Data Processing Platform
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Java Backend Engineer – Data Processing Platform (Java/Spark): Building and optimizing a batch-mode data processing application for large-scale analytics with an accent on scalable backend architecture, Spark-based processing, and containerized deployments. Focus on designing high-performance data pipelines, integrating relational databases and object storage, and tuning systems for data-intensive workloads.
Location: Lisbon, Portugal; hybrid work model. Candidates must already have the legal right to work in the European Union.
Company
delivers technology solutions for clients in data-driven and analytics-focused environments.
What you will do
- Develop and optimize Java backend components for large-scale data processing applications.
- Design and implement scalable batch processing solutions using Apache Spark.
- Collaborate on solution architecture, performance standards, and backend API design.
- Integrate Docker and Kubernetes deployments into CI/CD pipelines.
- Support the migration and integration of relational databases and object storage systems.
- Analyze and tune system performance while expanding knowledge of Big Data technologies.
Requirements
- At least 7 years of hands-on Java development experience, including Java 8+.
- Strong backend architecture, API design, and solution architecture skills.
- Experience with SQL and relational databases, including PostgreSQL or Oracle.
- Understanding of Docker, Kubernetes, and CI/CD tools such as Maven, GitLab, ArgoCD, and Liquibase.
- Existing legal right to work in the European Union is required.
- Communicative English is required.
Nice to have
- Experience or willingness to learn Apache Spark and Big Data frameworks.
- Knowledge of Spark SQL, Hadoop, Flink, batch processing workflows, or ETL pipelines.
- French language skills at B2 level.
Culture & Benefits
- Hybrid work arrangement in Lisbon.
- Multicultural environment with collaboration across teams.
- Opportunity to work on data-intensive software and Big Data technologies.
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