Qualifications ExperienceA bachelor s degree in Computer Science or related field with 15-18 years of technology experienceStrong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space.Software development experience using :Object-oriented languages (e.g., Python, PySpark,) and frameworksExpertise in relational and dimensional modelling, including big data technologies.Exposure across all the SDLC process, including testing and deployment.Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure DataBricks, HD Insights, ML Service etc.Experience in ETL ELTGood understanding of how to enable analytics using cloud technology and ML OpsExperience 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.Ability to work with a global team of consulting professionals across multiple projects.Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems.Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success.Skills Required
Pyspark, Python, Sdlc, ELT, Azure Devops