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 SSISInformatica 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.
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 SSISInformatica 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.
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.
