Azure Data Engineer with strong Spark

Responsibilities:Data Engineering experience primarily on Spark. Someone who has worked on Azure cloud with knowledge on Azure DEVOPS (CI/CD & Infrastructure as a code), ADF, ADW & Power BI. Apache Nifi will be good to have.Power BI: Understand business requirements to set functional specifications for reporting applications Build automated reports and dashboards with the help of Power BI reporting tool Be experienced in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX Be able to quickly shape data into reporting and analytics solutions Have knowledge of database fundamentals such as multidimensional database design, relational database design, and more Create functional reporting Study, analyze and understand business requirements in context to business intelligence. Design and map data models to shift raw data into meaningful insights. Utilize Power BI to build interactive and visually appealing dashboards and reports. Spot key performance indicators with apt objectives Run DAX queries and functions in Power BI Should have an edge over making DAX queries in Power BI desktop. Developing visual reports, KPI scorecards, and dashboards using Power BI desktop. Connecting data sources, importing data, and transforming data for Business intelligence.

Required Skills:Spark ,Azure DEVOPS (CI/CD & Infrastructure as a code), ADF, ADW & Power