Dataops Engineer (F/M/D)

1 Vacantes
Publicado el 01 de agosto en

Programación en Madrid, Madrid

Descripción
  • Salario: No informado
  • Categoría: Informática / Telecomunicaciones
  • Subcategoría Programación
  • Localidad: Madrid
  • Activo desde: 01/08/2020 - 16:00:07 pm
  • Jornada: Tiempo completo
  • Tipo de Contrato: Contrato por Necesidades del Mercado
  • Cantidad de Vacantes: 1
  • Disponibilidad de viajar: No
  • Disponibilidad de cambio de residencia: No

Job Description

Modern enterpriseIT-environments are growing fast and change constantly on a fast pace.
And withthat ever-increasing complexity vulnerabilities arise.
The VulnerabilityManagement team within the CyberSecurity department takes this every-day we?re looking for support:
You know how to analyze and structure high amounts of data coming fromdifferent and diverging sources? That?s a start.

You know how to transform and unify this data into understandable pieces?Good!
You apply techniques to cluster data, highlight outliers, filter on theoverall noise and even predict and trend current development? We would like toget to know you.
We?re looking for a DataOpsEngineer who supports the team in the daily business of collecting, analyzingand transforming vulnerability data to improve the effectiveness of the about IT-Systems and Environments is a plus.
Knowledge and experiencein the CyberSecurity-field, especially with Vulnerability Testing andMonitoring, is valuable.
What are my responsibilities?
You align with internal and external parties on interfaces and data-delivery and operate these accordingly
You analyze, transform and normalize information and data-streams for efficient processing and retrieval
You drive pragmatic approaches to solving key business problems through utilizing, Data Science, Machine Learning, predictive modeling, optimization, and other advanced techniques
You utilize novel methodologies from Machine Learning/AI to conceptualize and implement novel solutions for
predictive maintenance, anomaly detection-, failure classification in a Vulnerability Scanning and Detection environment
You design, implement and deploy robust data-driven algorithms resulting in scalable data-driven service products
You constantly evolve current analysis and reporting methodology to maintain efficiency and effectiveness of the Vulnerability Management team
You support the Vulnerability Management Team and the CyberSecurity community with up-to-date and relevant reports
You are an active part of and contribute to the success of the Vulnerability Management Team
What do I need to qualify for this job?
University degree or similar qualification in the field of Computer Science, Computer Security or Scientific or Engineering Science.
At two three years of experience of work in a related field
Sound background in Data Science, Machine Learning and Statistics
Experience to apply this knowledge in the field of real-life data for at least two years
Experience with one or more modern analytical frameworks, libraries and analytical development frameworks as well as solid programming skills,
in Python, Ruby, Java, Scala combined with knowledge of scientific libraries
Analytical thinking and ability to act well-structured
Ability to communicate and work in an international team crossing multiple continents, time zones and cultures.
Sound command of English, both in spoken and written form
Communicational skills of Data Analytics topics to non-specialists of that domain
Good understanding of IT-environments and IT-components
Experience in configuring and running the ELK-stack is preferable
Experience in the CyberSecurity-field, especially on Vulnerability Scanning and Remediation is a plus
Securing the Future Enterprise TodayWhether in the field of Industry, Smart Infrastructure or Energy: Digitalization is simplifying many facets of life.
Therefore, we need to handle the associated risks caused through Cyber an impact that matters!?, that?s the motto we live by.
We at Siemens are continuously pushing the boundaries of sectors such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI) and cloud technologies.
However, with such digital innovations come unpredictable security challenges and vulnerabilities, thus growing the risk of looking for forward-thinking, results-oriented game changers like you to join our team of experts.
Together let?s build ground breaking security solutions and infrastructures that protect our data and the digital assets of our customers.
Help us seek tomorrow?s challenges us! Together we can make our digital world more got quite a lot to offer.
How about you?Do you want to know more about Cybersecurity at Siemens? Curious about our Cybersecurity hubs? The Siemens Lisbon Tech Hub has more than 700 employees with the Corporate Technology Cybersecurity team, making it one of the largest in Europe
- check it out:#CYBERSECURITY #CTCYS #ITMAKESUSMOVE #LXTECHHUB #ITSEC[DET-VM-1]


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