Big Data Engineer

4 - 10 years of experience in designing and buildingarchitecting highly resilient data platforms ∙Strong knowledge of data engineering, architecture and data modeling ∙Experience in platforms like Databricks and Snowflake ∙Experience on building applications on cloud (AWS or Azure or Google Cloud) ∙Strong analytical and problem-solving skills ∙Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an advantage ∙OOP design skills with an understanding or at least personal interest towards the concepts of Functional Programming  ∙Willingness to understand and enhance other people’s code, being able to work in an environment where developers will oversee and work on wider components also dealing with older “legacy” code  ∙Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not already mastered at a sufficient level is important ∙Spring knowledge is an advantage, but in general willingness to learn, work with and even enhance in-house developed frameworks is a must ∙Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile methodology is an advantage ∙Prior knowledge of financial products is an advantage ∙Bachelors or Masters in any relevant field of IT/Engineering area is an advantage