FID Federal Risk Applications Data Engineer

Our focus is developing systems serving as a data integration and feeding platform, ensuring that calculation results and other data initiated in our Division reaches our downstream clients and meeting all their requirements. The main challenges in this area are the volume of the data (feeding hundreds of gigabytes daily), interfacing with multiple other systems, being exposed to different financial products to a certain extent and being resilient to errors while keeping our SLA-s. The data we feed is critical in fulfilling the regulatory requirements set by the FED, PRA or BAFIN. Our team is also involved in developing calculations of regulatory scenarios requested by our Market Risk Department. The main technical challenge for this team is computational complexity. 8-12 years of experience in designing and building architecting highly resilient data platforms Strong knowledge of data engineering, architecture and data modeling Experience in platforms like Databricks, Snowflake and Kafka Experience on building applications on cloud (AWS or Azure) Prior experience in developing data or computation intensive (e.g. grid based) backend applications is an advantage Strong programming skills (Java/ Scala / Python) skills with the willingness to pick up the other language if not already mastered at a sufficient level 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 wider bucket Prior experience in working with Git, Bitbucket, Jenkins, working with PR-s, using JIRA, following the Scrum Agile methodology is an advantage Bachelors or Masters in any relevant field of IT/Engineering Prior knowledge of financial products is an advantage