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Introduction
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; including 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
As a Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.
Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.
In this role, your responsibilities may include:
- Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques
- Designing and implementing various enterprise seach applications such as Elasticsearch and Splunk for client requirements
- Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
- Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modeling results
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
* AWS glue & python are mandatory skills
* We are seeking a skilled Cloud Engineer to troubleshoot data pipelines failures, identify problems, restart services and resume operations. The ideal candidate will have expertise in cloud platforms such as AWS Cloud, along with
* A strong background in automation, security, and performance optimization.
* Design, deploy, and manage cloud infrastructure solutions on AWS, Azure, or Google Cloud.
* Implement automation and Infrastructure as Code (IaC) using Terraform, CloudFormation, or similar tools.
* Monitor system performance, security, and cost optimization in the cloud environment.
* Collaborate with development teams to support CI/CD pipelines and DevOps workflows.
* Ensure high availability, scalability, and reliability of cloud services.
* Manage cloud security, including identity and access management, encryption, and compliance standards.
* Troubleshoot and resolve cloud infrastructure-related issues.
* Document best practices, architectures, and processes.