A career in IBM Consulting is rooted by 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
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.
As a Brand Technical Specialist, you'll work closely with clients to develop relationships, understand their needs, earn their trust and show them how IBM's industry leading solutions will solve their problems whilst delivering value to their business. We're committed to success. In this role, your achievements will drive your career, team, and clients to thrive. A typical day may involve: Strategic Mainframe Solutions: Crafting client strategies for mainframe infrastructure and applications. Comprehensive zStack Solutions: Defining and detailing IBM zStack solutions for client enhancement. Effective Client Education: Delivering simplified proof of concepts and educating clients. Building Trust for Cloud Deals: Building trust for closing complex Cloud technology deals.
- GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function Cloud data engineers with GCP PDE certification and working experience with GCP.
- Building end to end data pipelines in GCP using pub sub, big query, dataflow, cloud workflow/cloud scheduler, cloud run, data proc, Cloud Function
- Experience in logging and monitoring of GCP services and Experience in Terraform and infrastructure automation.
- Expertise in Python coding language
- Develops data engineering solutions on Google Cloud ecosystem and supports and maintains data engineering solutions on Google Cloud ecosystem
- Stay updated with the latest trends and advancements in cloud technologies, frameworks, and tools.
- Conduct code reviews and provide constructive feedback to maintain code quality and ensure adherence to best practices.
- Troubleshoot and debug issues and deploy applications to the cloud platform