Job Opportunities API

Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses); •Designing architectures both on the cloud and on premises (whether hosting or cloud on-premises) or combination of both (hybrid); •Gathering business requirements; •Designing ETL processes •Data analysisand data modelling; •Data virtualization; •Physical DB design and performance analysis; •Design of Data Quality and Health Monitoring processes; •Elaboration of test programs; •Writing of technical documentation; •Assistance with deployment and configuration of the system; •Participation in meetings with other project teams. Following skills and knowledge are required for the performance of the above listed tasks: • Excellent knowledge of data warehouse design & architecture. • Good knowledge of data lake/data lakehouse design and architecture. • Excellent knowledge of relational database systems applied to data warehouse. • Very good knowledge of cloud-based business intelligence technologies. • Knowledge of non-relational database technologies. • Strong expertise in data warehouse and big data (structure and unstructured data). • Strong expertise with Object Oriented programming, and/or Python would be an asset. • Expertise with migration of data infrastructure to cloud (AWS, Azure) would be an asset. • Excellent knowledge of SQL. • Excellent knowledge of business intelligence reporting tools. • Excellent knowledge of ETL tools. • Excellent knowledge of modelling tools. • Excellent knowledge of online analytical data processing (OLAP) and data mining tools. Optional certifications: • Microsoft Data Analyst Associate. • Microsoft Azure Data Engineer Associate. • Amazon Certified Data Analytics Speciality. • Very good knowledge of cloud solutions for datawarehouse, datalakes and business intelligence solutions. • Ability to work efficiently and fast within an environment using SAS DI, SAP BO, Oracle, PL/SQL, QlikSense, Sinequa, JavaScript, Angular, PHP, Python. • Ability to give business and technical presentations. • Ability to apply high quality standards. • Ability to cope with fast changing technologies used in Data and Business Intelligence. • Very good communication skills with technical and non-technical audiences. • Analysis and problem solving skills. • Capability to write clear and structured technical documents. • Ability to participate in technical meetings and good communication skills. Due to the particular nature of a large international organisation such as the European Commission, candidates should also have the following non-technical skills: • Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team; • Ability to participate in multilingual meetings; • Ability to work in multi-cultural environment, on multiple large projects • Excellent Team Player;