Data Engineer

Data Developer Must Have : Defines, challenge and prioritize with client data requirements. Partners with other architects, infrastructure and software experts to define metadata layers, technical strategy and optimal integration within existing client IT landscape. Design, develop and continuously improve supporting activities (automation of versioning and release management, scheduling, security models, impact assessment of new changes Manage data sets and work with ETL and Data warehouse solutions Tableau Data Visualization & Reporting : Power BI Experience in Azure Design, develop, test, and deploy Power BI scripts and perform detailed analytics Perform DAX queries and functions in Power BI Communicate effectively with all corporate business lines Data Visualization & Reporting : Power BI Design, develop, test, and deploy Power BI scripts and perform detailed analytics Perform DAX queries and functions in Power BI Experience in Azure Data Warehousing (at-least one) : SQL Server, Azure Synaps Data Integration (at-least one) : Python, Spark Data Integration (at-least one) : SSIS, SSAS, Analyze current ETL process, define and design new systems SQL querying for best results, use of filters and graphs for better understanding of data Work with users and team members at all level for performance improvement and suggestions Worked in Agile team Performance management : indexing, performance Excellent communication & have worked with C-Level folks.