This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Development of a modern Lakehouse architecture based on Azure Datalake using Python and the PySpark framework for implementing business services in the field of insurance
implementation of business functions that will allow you to run accounting processes and generate data to meet reporting requirements
designing, developing, automating and supporting backend applications that combine data elements from multiple domains and systems
cooperation with: other engineers, analysts, product owners and stakeholders to deliver value-added solutions that meet business needs and expectations
team lead engineer to create a target architecture for products within the team's scope
design of data transformation and data flow services and active participation in coding
presentation and communication of ideas and proposals to various stakeholders for the purpose of evaluation and brainstorming
implementation of software engineering practices to ensure the quality, performance and sustainability of applications
performing peer code reviews
Requirements:
min. 4-year demonstrable project experience in the field of software Python engineering
language SQL for searching and manipulating data
framework PySpark or equivalent for creating and optimizing complex data pipelines
Scrum/Agile development methodologies
working in a global distributed team in a multicultural environment
ability to clearly express technical topics to a non-technical audience
active knowledge of English at a communicative level (min. B2-C1)
min. Bachelor's or equivalent degree in computer science, data science or a similar discipline
Nice to have:
environment Azure Cloud (Databricks, Data Factory, Data Lakes)
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