Cloud Consultant

Project Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Google Cloud Data Services, Python (Programming Language), Python on Azure Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Full Stack Engineer, you will be responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Your typical day will involve using your development skills to deliver innovative solutions that help our clients improve the services they provide. You will leverage new technologies with a cloud-first and agile mindset to solve challenging business problems. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and engineer end-to-end features of a system, from user experience to backend code. - Deliver innovative solutions to improve client services. - Utilize new technologies to solve challenging business problems. - Adopt a cloud-first and agile mindset in development. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Data Services, Python (Programming Language), Python on Azure. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.