Manager - Data Engineering frontend

• Design and implement tabular cube models using Tabular Editor tool in a cloud environment.
• Design and maintain efficient data model architecture to handle largesize input data.
• Integrate new data sources into tabular cube model without impacting cube model performance.
• Optimize data size and DAX queries implement partitioning and archival concept and query tuning.
• Work extensively with Tabular Editor tool DAX query SQL and Mquery.
• Manage stakeholders and drive timely execution of projects using agile methodologies.
• Lead and coach other team members on technical skills and best practices.

• University degree in Computer Sciences or a similar field of studies.
• 48 years of handson experience in SSAS Tabular cube development and maintenance as per reporting requirements.
• Strong handson experience working with Tabular Editor tool DAX Studio and writing Mquery.
• Monitor and optimize Data Storage and Data Processing using Monitoring Tools as well as implementing archival concepts and query tuning.
• Very good handson experience working with advanced DAX queries to create complex measures.
• Deep knowledge in database concepts TSQL writing SQL queries and stored procedures.
• Handson experience in Azure cloud technologies and Power BI reports development (good to have).
• Very good understanding of Agile to deliver consistent project outcomes.
• High data affinity and strong analytical skills.

• Tabular Editor tool
• DAX query
• SQL
• Mquery
• Agile methodologies

dax,analytical skill,sql queries,dax studio,technical skills,best practices,dax queries,agile methodologies,technology solutions,power bi,advanced dax queries,tabular editor,agile,data processing,data storage,data model architecture,database concepts,archive concept,m-query,tabular cube model,ssas,sql,data affinity,cloud environment,stored procedures,ssas tabular cube development,power bi reports development,azure cloud technologies,t sql,azure