Big Data Engineer - 190000KV

15/11/2019: "Big Data Engineer - 190000KV" - Categorie protette



Descrizione
Annuncio dedicato alle persone appartenenti alle categorie protette - legge 68/99.

Generali is one of the largest global insurance and asset management providers. Established in 1831, it is present in 50 countries in the world, with a total premium income of more than € 66 billion in 2018. With nearly 71,000 employees serving 61 million customers, the Group has a leading position in Europe and a growing presence in Asia and Latin America. Generali’s ambition is to be the life-time partner to its customers, offering innovative and personalized solutions thanks to an unmatched distribution network.

Generali Investments Holding S.p.A. guarantees a solid framework of services designed to support various asset management activities. Key elements include back office activities, organized to provide maximum efficiency; advanced reporting systems and sophisticated technological infrastructures. The company also acts as a holding company, retaining share capital in the boutiques and Generali Investments’ companies.

Information Technology team is responsible of defining, maintaining and driving the evolution of the technology ecosystems within the scope of GIA&WM, in order to ensure the matching with the BU’s Investments and Asset Management strategy and related ambitious business targets. Among the other innovation and transformation objectives, the team aim at extracting more value from one of the most important assets to our BU (and also to the Group and to all clients in general): data relevant to core activity, i.e. Investment & Asset Management. Big Data methodologies and new technologies are one of the levers Generali Investments needs to use.

The candidate will be responsible for setting best practices and standards to design and execute solutions based on big data and distributed platforms, and for helping to steer the company’s information management strategy.

Responsibilities:
* Engineering scalable data processing and analytics solutions, including technical feasibility for Big Data storage, processing and consumption e.g., development of enterprise Data Lake strategy, heterogeneous data management, etc.
* Designing data schemas and processes to transform and analyze data streams
* Designing enterprise-scale, globally distributed, highly available solutions using Compute, Container, Serverless, Storage, Analytics, Database and Network Services
* Promoting, updating and sharing best practices

REQUIRED SKILLS:
Must have:
* Master degree in Engineering or Computer Science
* Proficient in English (both spoken and written)
* 4+ years hands on experience in IT implementation/ leading of IT Projects in Architecture, (Data-) Engineering, or Development
* Proven successful track record (in leadership roles) in projects encompassing databases, Big Data, data warehousing and data sciences.
* Deep understanding and implementation experience of database and analytical technologies in the industry including Data Lakes, Stream based Analytics, MPP databases, NoSQL storage, Data Warehouse design and Dashboard development.
* Experience implementing services and solutions on Customer Projects using Big Data and Analytics technologies on a Cloud platform
* Experience with modern DevOps CI/CD pipelines (versioning, continuous build, automatic testing, infrastructure-as-code, continuous deploy, etc…) and agile development practices
* Experience designing and coding in Python or Scala would be considered a plus
* Strong relational and analytical skills
* Strong focus on goals and delivery
* Used to teamworking in an international environment
* Experiences in the Financial Industry will be a strong plus
* Nice to have other European languages such as French and/or German

Orario di lavoro: Tempo pieno


Il presente annuncio è rivolto ad entrambi i sessi, ai sensi della vigente normativa in tema di discriminazioni di genere



Caratteristiche richieste
Area funzionale
Area funzionale:
Area funzionale: IT - TLC - Internet - Software

Esperienza in area funzionale
Anni di esperienza minima nel settore: 4

Settore
Settore:
  • Assicurazioni

Regione di residenza
Area di ricerca:
Regione: Lombardia

Titolo di studio
Titolo di studio: Master / Specializzazione post laurea

Conoscenze informatiche
Conoscenze informatiche:
  • Java



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