.IntroductionAt IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.Your Role and ResponsibilitiesDay-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 ExpertiseDesign, develop, test, and deploy Python applications on AWS, ensuring high availability, scalability, and security.Develop and maintain technical documentation for Python applications and AWS infrastructure.Optimize application performance, scalability, and reliability using AWS services such as:Serverless technologies (Lambda, API Gateway, Step Functions)S3 for data storage and retrievalGlue for data integration and ETLSQS and SNS for message queuing and notificationCognito for user authentication and authorizationCloudWatch for monitoring and loggingPreferred Technical and Professional ExpertiseImplement automated testing, deployment, and monitoring using tools like Jenkins, Docker, and CloudWatch.Troubleshoot and resolve technical issues in Python applications and AWS infrastructure.Stay up-to-date with the latest developments in Python and AWS, and apply this knowledge to improve our applications and infrastructure.Design and develop Serverless front-end applications using AWS services such as API Gateway, Lambda, and S3.Implement PDS Proxy to handle data processing and analytics workloads.Integrate AWS services with external systems and APIs using APIs, SDKs, and other integration tools.Implement Row Level Security (RLS) to segregate data and ensure secure access to sensitive information.Design and implement data models and database schemas for DynamoDB and PostgreSQL.Design and develop data ingestion pipelines using AWS Lambda, Glue, AWS Batch and restful APIs.Thorough understanding of AWS cloud concepts and related technologies like AWS VPC, Subnets, AZ's, SG, IAM policies & Roles, EC2, AWS ALB, API Gateway, ECS, RDS, AWS MSK, Kinesis, SQS, SNS, S3, DynamoDB, Secret Manager, Cloud Watch, Cloud Formation scripts (yaml/json), AWS CDK