Introduction

In 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.A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat.Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.

In 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 education

None

Preferred education

Bachelor's Degree

Required technical and professional expertise

Data Engineer duties:• Build data pipelines in AWS using Lambda, S3, Sage Maker, RDS, IAM, CloudFormation.• Work with data scientists to collect and analyze data for use in data science models.• Work with CloudFormation and IAM to deploy AWS services.• Use python and Lambda to extract, transform and load the data into S3 buckets.• Work with RDS PostgreSQL Aurora database for handling the data.• Effectively work with Agile Methodology and GitHub is used for version control.Preferred:• Experience with cloud platforms such as AWS, Google Cloud, or Azure.• Knowledge of software development practices, including version control (Git) and continuous integration/continuous deployment (CI/CD).Education:• Bachelor’s or master’s degree in data science, Computer Science, Statistics, Mathema