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Technical Team Lead (PunchPlatform Big Data - Security Business)

Job ID 13756481 Veröffentlichungsdatum 15/10/2019 Lieu: Bukarest, București
Location: Bucharest, Romania

The people we all rely on to make the world go round – they rely on Thales.  Thales rely on its employees to invent the future: right here, right now.

Present in Romania for over 40 years, Thales is expanding its presence in the country by growing its Digital capabilities and by developing a Group Engineering Competence Centre (ECC). Operating from Bucharest, Thales delivers solutions in a number of core businesses, from ground transportation, space and defence, to security and aeronautics.
Several professional opportunities have arisen. If you are looking for the solidity of a Global Group that is at the forefront of innovation, but with the agility of a human structure that tailors to the personal development of its employees and allows opportunities for evolution in an international environment, then this is the place for you!

Context

Thales Services has achieved a Big Data platform based upon open sources such as Spark, ElasticSearch. This platform is called Punch Platform and is already rolled out both for several entities of Thales and also for other international customers.

The PunchPlatform is a big data platform with a strong emphasis on industrial deployment, end-to-end critical data processing, and data analytics applications. Although it is used in security platforms and monitoring systems, it has a wider scope of application because it provides a simple yet extremely robust data pipeline concept implemented on top of Apache Kafka. You  can design industrial data pipeline where you plug in your processing where you need, from simple data tagging to complex distributed machine learning algorithms. The platform and your pipelines are deployed in minutes, yet come in with integrated monitoring. From the start you understand your performance, you are ready for capacity planning and ready to seamlessly handle the likely growth of your applications.

One of its key difference with a simple ElasticSearch-Logstash-Kibana (ELK) setup is to let you deploy arbitrary processing in Storm and Spark engines, not just logstash filters. Because it has been used in various industrial applications worldwide, it now comes equipped with tenths of  ready-to-use logparsers. These are deployed automatically in the stream of data.

Writing a parser on the PunchPlatform is easy. A powerful scripting language is available. However the ones provided by the platform are well-designed, cover most well-known equipment and systems, and come as modular functions you can deploy in a number of ways. Most importantly extra care has been taken on fields and datanormalisation which in turn enable powerful search (using Kibana or the native ElasticSearch apis) but also to plug in machine learning processing by simple configuration.

In a nutshell: select your data fields, configure an arbitrary Spark pipeline, and start to execute real machine learning processing on a production ready platform.

The punchplatform provides many additional functions such as multi-tenancy, long term archiving using CEPH object storage, multi site deployment. Feel free to visit the punchplatform.com for an overview.

Job summary:

  • Development of the SW component of the Punch Platform
  • Later, SW development and integration leadership (tech lead) on some technical area of the Punch Platform

Required competencies/experience:

  • Operational experience in Big Data SW Development and platform integration;
  • Highly skilled in SW design and big data system design;
  • Ability  to coach  high profile developers;
  • System Integration, end-to-end validation competencies.

Requested competencies / experience:

  • Big Data SW and platform (Kafka, Storm, Spark, MMLib…)
  • Operational experience in NoSQL DB (ElasticSearch V7.x)
  • Experience in visualization framework (Kibana, Grafana)
  • Good knowledge  of various Big Data storage including CEPH
  • Significant experience in cloud deployment over Openstack, fluent in Ansible  
  • Good experience in a scripting language (python) for tests automation
  • Agile methodology

Nice to have:

  • French Language

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!


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  • R&D : Software – IS/IT und Cybersecurity, Bukarest, București, RumänienLöschen