Purpose Of The JobData Engineer in the BI team is responsible for modeling client data for storing and automating purposes using Data Vault 2.0 methodology, developing and maintaining ETL data pipelines, conducting different data analyses of customer data provided in diverse formats, getting requirements from the business side, and presenting achieved results. Using the MIKE platform data for extracting it and using it for data pipelines to create new datasets for the BI reporting. Working on da
 Purpose Of The JobData Engineer in the BI team is responsible for modeling client data for storing and automating purposes using Data Vault 2.0 methodology, developing and maintaining ETL data pipelines, conducting different data analyses of customer data provided in diverse formats, getting requirements from the business side, and presenting achieved results. Using the MIKE platform data for extracting it and using it for data pipelines to create new datasets for the BI reporting. Working on data engineering tasks and business-driven data preparation. One of the other key tasks is the communication of data issues and facilitation of stakeholders to find solutions. Required the range of tools and technologies in the Microsoft Azure ecosystem, including Azure Synapse, Data Lake, and Azure DevOps, along with Python, PySpark and SQL languages for data processing and transformation. Also the teams requires the knowledge of Data Fabric for migration from Synapse to Data Fabric.
        
        
    
    
    
    
        
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            ІТ-послуги та ІТ Консалтинг