role with a huge focus on building Python, ETL processes and writing superb SQL . In addition, the candidate requirements. Use agile software development processes to make iterative improvements to the back-end projects. Experience in building or maintaining ETL processes. Experience as a data analyst / BI analyst. Database
along with JSON and Web API experience. Version Control: GIT and SVN proficiency are a must. Database Dynamo:
programming (OOP) concepts, data types, variables, and control structures in C#. Experience with Angular framework
unstructured data formats. Experience with version control systems (e.g., Git), unit testing, and CI/CD pipelines
Navigate RESTful APIs like a pro and wrangle version control with Git. Solution Samurai: Turn complex technical
sophisticated CI/CD pipelines Understanding of version control and related concepts and techniques, particularly
functions, views and triggers for efficient data processing and generate financial data required for revenue cases. Automation of Manual Business & BI Processes. Task and Self Organisation on KANBAN Board and
will actively contribute to enhancing business processes, models, and systems, driving continuous improvement & SoapUI BBD & TDD Continuous Integration process with Jenkins/Azure Exposure to Cloud technology
predicted results and deliver according to set processes and procedures. Responsibilities: Ability to write insights to support operational decision-making processes, including but not limited to forecasting, optimisation
Business Intelligence and reporting technologies and processes Translate stakeholder requirements into technical Develop feasible technical specifications and process flows for data provision Within user specifications