Azure Data Engineer

Role accountabilities:

• Possess excellent design and coding skills and a zeal for owning the complete SDLC of building applications in a DevOps environment
• You are excited about working with Azure Data Platform
• challenges while building the next wave of software engineering solutions
• Collaborating with and across Agile teams to design, develop, test, implement, and support technical solutions in Microsoft Azure Data Platform
• Leading the craftsmanship, security, availability, resilience, and scalability of your solutions
• Very strong on database concepts, data modelling, stored procedures, complex query writing, performance optimization of SQL queries.
• Strong experience in
  • T-SQL, SSIS, SSAS, SSRS
  • Azure Data Factory
  • Azure Data Lake Store
  • Azure Data Lake Analytics (Good to have, not mandatory)
  • Azure SQL DB
  • Azure SQL DW
  • Azure Analysis Services, DAX
  • Azure Data Bricks with Python/Scala
• Experience in building end to end solution using Azure data analytics platform.
• Experience in building generic framework solution which can be reused for upcoming similar use cases.
• Experience in building Azure data analytics solutions with DevOps (CI/CD) approach.
• Experience in using TFS, Azure Repos.
• Mentor peers to gain expertise on Azure data platform solutions skills.
• Experience in developing, maintaining, publishing, and supporting dashboards using Power BI.
• Strong experience in publishing dashboards to Power BI service, using Power BI gateways, Power BI Report Server & Power BI Embedded

Qualifications & Experience:

Basic Qualifications:

• Bachelor in Engineering/Math/Statistics/Econometrics or related discipline
• Should have 3-8 years of experience in MSBI with relevant hands-on experience in Azure Data Platform (must) for a minimum of 3 years.
• Preferred Qualifications:
• Master’s or Minor in Computer Science
• 3+ years of experience developing Data Engineering solutions
• Architecture, design experience with good knowledge of data model design & their implementation.