Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко связана с инженерией данных для кибербезопасности и борьбы с мошенничеством, а обучение и мобильность добавляют привлекательности; конкретные инструменты и устройство проектов раскрыты не полностью.
Актуальный стек
Понятные задачи
Поддержка развития
Финансовая киберзащита
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Big Data Engineer for Cybersecurity and Anti-fraud (Big Data/Cybersecurity): Developing data engineering solutions for fraud prevention and risk detection in the financial sector with an accent on batch and real-time streaming, SIEM integration, and data modeling. Focus on building reliable analytics pipelines, supporting migrations and deployments, and improving cybersecurity and fraud prevention solutions.
Location: Hybrid in Tres Cantos, Madrid, Spain, or Hospitalet de Llobregat, Barcelona, Spain; includes up to 8 weeks per year of teleworking outside the usual geographical area.
Company
hirify.global is expanding its Data & Analytics teams to support strategic financial-sector projects in cybersecurity and fraud prevention.
What you will do
Develop data engineering solutions for fraud prevention and risk detection in the financial sector.
Design, develop, and maintain batch and real-time streaming data processes.
Integrate data from SIEM platforms and build data models.
Participate in migration and deployment activities.
Contribute to the continuous improvement of Data & Analytics and cybersecurity solutions.
Requirements
Background and interest in data engineering, data analytics, cybersecurity, and fraud prevention.
Knowledge of SQL and database technologies.
Knowledge of Google Cloud Platform (GCP).
Knowledge of batch and streaming data processing.
Knowledge of Airflow, TWS, and ODI.
Knowledge of XSOAR and XSIAM.
Knowledge of cybersecurity and fraud prevention environments.
English level B2.
Nice to have
Experience in the financial services sector.
Knowledge of data governance and data quality practices.
Knowledge of Data Science and Machine Learning.
Cloud, cybersecurity, or fraud prevention certifications, including CISSP or ACFE.
Experience with Agile methodologies.
Culture & Benefits
Hybrid working model with flexible start and finish times, plus intensive working hours on Fridays and in summer.
Personalized career plan, training, and language-learning support.
National and international mobility, with a relocation package available for candidates from another country.
Competitive compensation with ongoing reviews, flexible compensation, and brand discounts.
Health, dental, and accident insurance, plus wellbeing programs and free fruit and coffee.
Hiring process
Recruitment includes telephone and personal contact with the talent acquisition team, either face-to-face or online.
hirify.global will never request bank transfers or bank cards during recruitment; suspicious contact should be reported to privacy@hirify.global.com.
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