Alcatel-Lucent Senior Big Data Engineer in Budapest, Hungary


Senior Big Data Engineer

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things.

Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.

We are looking for aSenior Java Developerto join us in developing a robust and scalable big data analytics solution. This solution combines predictive analytics with analytics based insights and provides business, and customer focused reports, actions, processes. As part of an agile scrum team You will be responsible for creating (implementing, testing, etc.) data architecture, including ETL, batch and stream based processing and BI tooling.

You will:

  • Develop efficient algorithms, models and proof of concepts

  • Create production software components, analytics applications and data visualization

  • Develop CI system to ensure system meets business requirements

  • Work together with architects, computing platform experts and Product Owner



Experience in Hadoop framework, large scale data processing (eg. Spark), messaging service (eg. Kafka), report templating (eg. Jasper)

Experience in NoSQL databases (eg. HBase, HIVE)

Experience in programming languages: Java, Scala, Javascript.

Javascript experience is a plus (especially in MVW frameworks, like AngularJS)

Experience in automatic deployment (Puppet, Ansible, ) and DevOps practices

Experience in Continuous Integration, Testing & Automation frameworks (e.g. Jenkins, Bamboo, )

At least 1-2 year(s) experience in Agile and DevOps environments

Job: fNokia Software Development

Primary Location: Europe South-Hungary-Hungary-Budapest

Schedule: Full-time

Req ID: 17000009WE