You can Expect:
Developing, maintaining, and optimizing BI and DWH processes in both cloud and on-premises environments.
Creating and maintaining ETL processes using Microsoft BI tools such as SSIS and SSAS.
Designing and implementing analytical models in Power BI / Analysis Services based on business requirements.
Collaborating closely with development and analytics teams to implement sophisticated data-driven solutions.
Working on cloud projects involving Azure Datalake, Data Factory, and Databricks.
Real-time troubleshooting and support for existing processes.
Developing, maintaining, and optimizing BI and DWH processes in both cloud and on-premises environments.
Creating and maintaining ETL processes using Microsoft BI tools such as SSIS and SSAS.
Designing and implementing analytical models in Power BI / Analysis Services based on business requirements.
Collaborating closely with development and analytics teams to implement sophisticated data-driven solutions.
Working on cloud projects involving Azure Datalake, Data Factory, and Databricks.
Real-time troubleshooting and support for existing processes.
Requirements:
Experience Required:
4 years of experience as a BI Developer.
Proficiency in DWH loading processes (Upsert, Staging, Mirroring).
Strong teamwork skills and experience working in collaborative environments.
Experience working with Source-to-Target documents and specifying DATA solutions.
Expertise in Microsoft BI Stack tools (SSIS, SSRS, SSAS, Power BI).
Knowledge and experience in data modeling within DWH environments.
Familiarity with cloud technologies, especially Azure Datalake, Data Bricks, and Data Factory- a significant advantage.
Experience Required:
4 years of experience as a BI Developer.
Proficiency in DWH loading processes (Upsert, Staging, Mirroring).
Strong teamwork skills and experience working in collaborative environments.
Experience working with Source-to-Target documents and specifying DATA solutions.
Expertise in Microsoft BI Stack tools (SSIS, SSRS, SSAS, Power BI).
Knowledge and experience in data modeling within DWH environments.
Familiarity with cloud technologies, especially Azure Datalake, Data Bricks, and Data Factory- a significant advantage.
This position is open to all candidates.
