Data Warehouse Engineer
hace 1 semana
Overview:
We’re searching for a Data Warehouse Engineer with a proven track record of developing Business Intelligence solutions to drive key outcomes. The role is responsible for different layers of the data hierarchy - including database design, data collection and storage techniques, to a deep understanding of data transformation tools and methodologies, the provisioning and managing of analytical databases, and building infrastructures that bring machine learning capabilities into production. The role is based in Bulgaria and will operate within the Business Analytics unit under the Business Analytics Global Manager.
**Be part of a company that helps progress people for a bright digital world.**
YNV is a holding company that has brands in tech support, training, software, fintech, and real estate. Our family of companies benefits from a unique synergy, sharing services and building off each other to support continued growth. We are guided by four core principles: A commitment to digital reimagination, hyper-agility and client responsiveness, a caring culture that transfers directly to clients, and long-term thinking.
**Responsibilities**:
**This role will**:
- End to end development of data models, including gathering the data sources, developing ETL processes, and developing front end data model solutions for our business to help our users make smarter decisions.
- Full responsibility on our DWH including infrastructure, data modeling, audit logging, etc.
- Building automated validation processes to ensure data integrity.
- Optimizing processes run-time and solving problems in a scalable manner.
- Taking full ownership of designing, building and deployment of data products.
- Collaborating with Backend, Data Science, Data Analysis, and Product teams.
Qualifications:
**In this role**:
- Bachelor’s degree in Information Systems, Industrial Engineering, or equivalent experience is required.
- Professional fluency in English is essential, both written and spoken.
- Three or more years of experience in BI solutions development (DWH, ETL) as well as in SQL and ETL tools like SSIS\Informatica is required.
- Experience with building automated validation processes to ensure data integrity is considered an advantage.
- Experience in data modeling, with no SQL data platform, working ETL tools and methodology, as well as with BI reporting tools is required.
- Strong analytical skills are required.
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