The candidate will work in the data infrastructure team:
Implement large-scale data ecosystems including various businesses such as the FMCG industry and the integration of structured (in some cases unstructured) data to generate insights leveraging BI platforms.
Responsible to build and manage data pipeline orchestration.
Responsible for managing and developing the performance of the data warehouse.
Requirements
Ability to communicate with customers about data service processes.
Ability to run analysis service layer mostly based on Tabular models.
Ability to work with Rest APIs to get or receive data.
Ability to design Data Structure.
3+ years of experience in implementing ETL processes.
1+ years of experience in performance tuning.
3+ years of experience in SQL Server scripting.
1+ years of Python or C# scripting experience.
1+ years of experience in implementing SSAS.
Experience in columnar databases and real-time data streaming would be valuable.
Skills:
Microsoft SQL Server.
SSIS.
SSAS.
Python.
Power BI.
Basic knowledge of working with open-source applications.