Azure Engineer (Reboot)

Responsibilities:

• Be an integral part of large-scale client business development and delivery engagements
• Develop the software and systems needed for end-to-end execution on large projects
• Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions
• Build the knowledge base required to deliver increasingly complex technology projects

Qualifications & Experience

• A bachelors degree in Computer Science or related field with 3-8 years of technology experience
• Strong problem solving mindset in order to apply technology to solve a business problem.
• Strong experience in Data engineering, System Integration, Application Development, Data-Warehousing or BI reporting.
• Software development experience using: Object-oriented languages (eg, Python, PySpark,) and related frameworks
• Working knowledge in Agile, Kanban and scrum teams and exposure across all the SDLC process, including testing and deployment
• Expertise in relational and dimensional modelling, including big data technologies.
• Expertise in Microsoft Azure is mandatory including components like Azure DataBricks, Azure Data Factory, Azure Data Lake Storage, Azure SQL, HD Insights, ML Service, MS Fabric etc
• Good knowledge of Python and Spark are required
• Good understanding of how to enable analytics using cloud technology and ML Ops
• Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus
• Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure)
• Characteristics of a forward thinker and self-starter
• Good communication skills and ability to hold conversation with stakeholders.