Asaja Empleo. Ofertas de trabajo

Anunciado el Hace 6h
Tipo de jornada
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Tipo de contrato
Sin especificar
Salario
Salario sin especificar
Estudios mínimos
Sin especificar
Nivel
Sin determinar
Número de vacantes
1
Descripción del empleo
  • Data Engineer. Analytics.
  • Insurance. International.

International Insurance company.





  • To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected output.

  • To be responsible for the development and maintenance of automated, repeatable processes for integrating data and providing it to business analytics users in an appropriate format.

  • Working with architects and developers, provide technical input into matching the best technology to the use case and develop an ongoing process.

  • To work closely within a cross functional team to scope, develop, articulate progress and results including business case to progress further. (End to end Technical to business use).

  • Work with SMEs to analyze the data.

  • Work with architect to develop process for production use cases.

  • Actively championing analytics across all areas and levels of the business.

  • Working on all aspects of the project as needed by the overall team.

  • To be responsible for maintaining standards around the use and access to data, ensuring adherence to internal and external regulatory factors.




  • Work Life - Balance

  • International and Multicultural Environment

  • Professional Growth Opportunities

  • Compensation and Benefits Package




Requisitos mínimos

  • Data manipulation and extraction tools.

  • Knowledge and understanding of the tools and processes to ensure data security, quality and accuracy.

  • Knowledge and capability of Microsoft Azure toolset.

  • Significant Knowledge and capability of market leading BI and analytics tools / processes outputs etc.

  • Proven experience of detailed data analysis and manipulation.

  • Knowledge in PySpark

  • Proven experience and knowledge of and can demonstrate use of best practice data management and in particular data administration.

  • Experience of working in a busy environment whilst maintaining a high degree of accuracy at all times and meeting tight deadlines.

  • Experience gained to proactively build and maintain relationships both externally and with customers throughout the company.

  • Proven experience of leading data centric or technical projects.

  • Proven experience in mentoring or managing technical teams in the use of technical software, design, modelling and information management.




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