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Job Responsibility Data Handling and Processing: Strong proficiency in SQL and experience with programming languages such as Python or Scala. Expert in working in Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric and other data related Azure Services Experience with data modelling, data warehousing, and building ETL pipelines. Proficiency in handling large datasets, data extraction and transformation, and loading (ETL), data cleaning, and normalization. Understanding of data governance practices, compliance, and data security measures in Azure.Data Analysis and Visualization: Experience in data analysis Valuable experience on Power BI Visualizations, Data modelling with the knowledge of best practices Experience with DAX and Power Query M language. Expert in implementing Row Level Security Can understand data models, able to implement and work with medium-complex data models Quick learner to pick up the Application data design and processes Understands industry best practices for Power BI. Has experience on performance improvement in existing implementation. Familiarity with Azure Data Services (Azure SQL Database, Azure Data Lake, Azure Data Factory) is a plus.Non-Technical Skills: Active Learner in recent technologies Must have solid communication skills (in English) Able to interact with the customer during project implementation Skills Preferred: Data Management: SQL, Azure Synapse Analytics, Microsoft Fabric, Power BI, Data Factory, Azure Databricks Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .