Jobs at Sword Group (Now Hiring) — 72 open — Page 3

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;