IntroductionIn this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.Your Role and Responsibilities- Day-to-day troubleshooting of forecasting systems, mainly working through data anomalies that cause inaccurate forecasts or prevent forecasts' generation.- Collaborate with the data science team to enhance existing forecasting systems for the trade floors.- Create dynamic object-oriented methods, full stack solutions, and integrations to existing code solutions.- Develop individual Python classes, methods, functions that support the data flow of existing and new projects.- Work on code additions to seamlessly support projects for data flows, including logging and support, with little to no supervision.- Experience in modifying packages, testing, and repository instances to support CI/CD.Required Technical and Professional ExpertiseAWS Cloud Data Engineer, you will be responsible for designing, implementing, and managing our data solutions on the AWS platform. AWS GLUE Primary focus will be on building and optimizing data pipelines, ETL processes, and data models to support our data analytics initiatives.Preferred Technical and Professional Expertise- Experience in automation and scripting, including programming languages such as Python, JavaScript, or PowerShell.- Strong knowledge and experience in cloud computing platforms Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or other cloud providers. Proficient in cloud infrastructure, deployment, and management, as well as cloud security and compliance.#J-18808-Ljbffr