3 дня назад
Senior Big Data Engineer – Financial Services
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Big Data Engineer – Financial Services (Spark/Hadoop/Kafka): Designing, developing, and optimizing scalable big data pipelines for financial services with an accent on high-performance processing, CI/CD, and DevOps automation. Focus on building reliable data solutions with Spark, Hadoop, Hive, and Kafka, troubleshooting system performance, and collaborating with Paris-based counterparts.
Location: Lisbon, Portugal; hybrid work with up to 3 days remote per week. Candidates must have an existing legal right to work in the European Union.
Company
Work is performed for a financial services client focused on using big data technologies to improve operational efficiency and customer insights.
What you will do
- Design, develop, and optimize big data pipelines with Spark, Hadoop, Hive, and Kafka.
- Build scalable, high-performance data solutions aligned with business goals.
- Manage source code and deployment pipelines using Git, XL Release, and XL Deploy.
- Monitor system performance, troubleshoot issues, and implement optimization strategies.
- Apply DevOps practices to improve development workflows and automation.
- Collaborate with cross-functional teams and Paris-based counterparts while maintaining clear documentation.
Requirements
- At least 9 years of software engineering experience, including big data technologies in financial or related sectors.
- Strong expertise in Spark, Python, Hadoop, Hive, SQL, Linux, APIs, and Kafka.
- Experience with CI/CD pipelines, Git, XL Release, and XL Deploy.
- Familiarity with DevOps concepts and scheduling tools such as CTRL-M.
- Fluent English at C1 level or higher.
- Existing legal right to work in the European Union.
Nice to have
- Knowledge of French.
- Certifications in big data or cloud technologies.
- Experience with large-scale data architecture in financial services projects.
Culture & Benefits
- Hybrid work model with up to three remote days per week.
- International, distributed collaboration with teams in Lisbon and Paris.
- Collaborative environment focused on knowledge sharing and continuous learning.
- Opportunity to work on large-scale financial services data solutions.
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