Náplň práce
                        Collaborates with business unit liaisons to understand and develop business and functional requirements  
Change management of existing database tables/views and data models  
ETLs job creation, maintenance and supervision  
Database programming (procedures) and administration of BI/DWH back office  
Attends team meetings and daily scrums with in-house as well as remote colleagues  
Ad-hoc analysis and data extractions  
Performs technical analyses for development of new features  
Maintains the knowledge base and follows documentation process rules  
                        
                        
                        
Nabízíme
                        What we offer  
We care about the environment and the people who live in it. With us, you will have the chance to develop personally and professionally, work with a team of passionate people, and positively impact the lives of others.  
What is more:  
Competitive salary  
Annual bonus connected to company performance  
Relocation package 
Lunch fully paid, office refreshment  
Strong work/life balance, flexible working hours  
5 weeks paid holiday  
Oriflame products for free  
Company mobile phone tariff with contribution (available to family members)  
Company team-building activities  
Onsite training about Oriflame business, system architecture & technologies  
Position in an international environment with informal friendly atmosphere  
Opportunity for short-term assignment abroad  
Work in attractive UNESCO listed historical town, enjoying active outdoor life style in quiet environment  
                        
                        
                        
Další informace
                        We are now looking for a Data Warehouse Developer/Architect to further strengthen our team. The position is based in Brno, Czech Republic.   
 
The Data Warehouse Developer is responsible for database structures manipulation, transformation, ETL development for the data warehouse and ad hoc data extractions. Developer partners with analysts, information data architect and business liaisons to understand the requirements to ensure that the data are loaded and maintained in a consistent, logical, error-free, and optimal manner.  
                        
                    
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