Analyst Databricks, Azure Analyses Services And Powerbi

Analyst Databricks, Azure Analyses Services and PowerBI1/ Context:
Monitoring Solutions product provides monitoring capabilities covering applications performance, LOG events, and BAU KPIs.
Along client initiatives aiming to increase the quality of service within client, we are building several QoS dashboards, following an industrial approach.
As a Data Engineer, responsibilities will include constructing data pipelines using PySpark, developing tabular cubes with Analysis Services (DAX), and creating dashboards using Power BI.
2/ Services Assessment of the needs to set up a list of functional and technical requirementsSupporting coordination with third-party teams (Data integration team, Datalake team)Implementation of data ingestion and transformationImplementation of specific calculations and filtering according to the requirementsImplementing security and access control measures3/ Deliverables Design of the technical solution covering the needs (Data model, Integration flow, Data mapping)Build integration layer based on Azure Datalake: DAX, PySpark, Databricks, Azure Analysis Services, Azure DevOpsPowerBI dashboards connected to Azure CubesImplementation of specific calculationsMinimum Requirements:
* Years of expertise we're looking for: minimum 2 years
* The tools needed or mandatory expertise: Databricks, Azure Analyses Services, and PowerBI - must have hands-on expertise with these tools
* Level of expertise on tools needed: open for all levels (intermediate, advanced, expert)

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