A global team responsible for delivering advanced reporting, analytics, modelling and simulation solutions, enabling data-driven decision-making, risk management and large-scale business transformation within a complex international environment.
- Design high-performance data pipelines (ETL) using state of the art data engineering techniques according to business specifications;
- Implement flow automation through CI / CD pipelines and end-to-end release of artifacts across environments;
- Design data models and schemas as well as providing architectural guidance;
- Transform and/or translate code;
- Support MS4U teams on coding phase;
- Optimize code developed by MS4U teams;
- Insure RUN code phase;
- Provide end-users with support on the handling of Dataiku, with support on the implementation of best practices;
- Coach and guidance towards junior team members, as well as stakeholders.
- Relevant professional experience as a data engineer is mandatory;
- Knowledge of ETL and / or ELT data integration processes is mandatory;
- Proficiency in SQL is mandatory;
- Proficiency in Python and / or PySpark is mandatory;
- Proficiency in CDP or HDP architecture is mandatory;
- Knowledge of Dataiku, SAS, Apache NiFi is a plus;
- Knowledge of Agile methodology and JIRA is a plus;
- Previous banking experience is a plus;
- Knowledge of credit risk is a plus;
- Proficiency in Microsoft Office Suite (Outlook, Excel, PowerPoint, Word).
- Bachelor’s degree in Information Technology, Computer Science, Business Intelligence or other relevant area
- English B2+