Job
Description
Role & responsibilities Strong understanding of Azure environment (PaaS, IaaS) and experience in working with Hybrid model At least 1 project experience in Azure Data Stack that involves components like Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, Azure Data Bricks, Azure Analysis Service, Azure SQL DWH Strong hands-on SQL/T-SQL/Spark SQL and database concepts Strong experience in Azure Blob and ADLSGEN2 Strong Knowledge of Azure Key Vault, Managed Identity RBAC Strong experience and understanding of DAX tabular models Experience in Performance Tuning, Security, Sizing and deployment Automation of SQL/Spark Good to have Knowledge in Advanced analytics tools like Azure Machine Learning, Event Hubs and Azure Stream Analytics Good Knowledge on Data Visualization tools Power BI Able to do Code reviews as per organization's Best Practices. Exposure/Knowledge of No-SQL databases. Good hands on experience in Azure Dev ops tools. Should have experience in Multi-site project model, client communication skills String working experience in ingesting data from various data sources and data types Good knowledge in Azure DevOps, understanding of build and release pipelines Good knowledge in push/pull request in Azure Repo/Git repositories Good knowledge in code review and coding standards Good knowledge in unit and functional testing Expert knowledge using advanced calculations using MS Power BI Desktop (Aggregate, Date, Logical, String, Table) Good at creating different visualizations using Slicers, Lines, Pies, Histograms, Maps, Scatter, Bullets, Heat Maps, Tree maps, etc. Exceptional interpersonal and communications (verbal and written) skills Strong communication skills Ability to manage mid-sized teams and customer interaction
