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Join a forward-thinking consulting firm as a Data Engineer, where your expertise in AWS and Python will drive impactful data solutions. You'll work alongside a diverse team, tackling complex data management challenges and deploying innovative cloud infrastructure. This role offers a unique opportunity to engage with cutting-edge technologies and contribute to meaningful projects that enhance client success. Embrace a culture of continuous learning and collaboration, and be part of a team that values your creativity and insights. If you're ready to make a difference in the world of data and analytics, this is the place for you.
A career in IBM Consulting is rooted in 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 some of the most innovative and valuable companies worldwide. Your ability to accelerate impact and effect meaningful change for your clients is supported by our strategic partner ecosystem and robust technology platforms within the IBM portfolio, including Software and Red Hat.
Curiosity and a constant quest for knowledge are foundational to success at IBM Consulting. In your role, you'll be encouraged to challenge norms, explore ideas beyond your immediate responsibilities, and develop creative solutions that lead to groundbreaking impacts for a broad network of clients. Our culture emphasizes evolution and empathy, focusing on long-term career growth and development in an environment that values your unique skills and experiences.
In this role, you'll operate within one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we provide deep technical and industry expertise to a diverse range of public and private sector clients globally. Our delivery centers bring locally based skills and technical expertise to foster innovation and facilitate the adoption of new technologies.
Your role and responsibilities
As a Data Engineer at IBM, you will harness the power of data to uncover compelling stories and complex patterns. Your contributions will include data collection, storage, and processing—both batch and real-time.
You will collaborate closely with diverse teams to determine the most appropriate data management systems and identify critical data for insightful analysis. Your role involves resolving challenges related to database integration and managing complex, unstructured data sets.
Your responsibilities may include:
Required education
Bachelor's Degree
Preferred education
Bachelor's Degree
Required technical and professional expertise
* AWS Glue & Python are mandatory skills.
* We seek a skilled Cloud Engineer to troubleshoot data pipeline failures, identify issues, 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 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 issues.
* Document best practices, architectures, and processes.
IBM Consulting is IBM’s leading professional services business, specializing in business and technology transformation across industries. We offer strategy, experience, technology, and operations services to some of the world’s most innovative companies. Our focus is on accelerating our clients’ businesses through collaboration, leveraging technology responsibly to benefit people, partners, and the planet.
In a world of constant technological change, we value dedication to client success, meaningful innovation, and trust and responsibility in all relationships. As an IBMer, you’ll have opportunities to learn and grow, be courageous and experiment, and receive ongoing support in an environment that celebrates diversity and inclusion.
Our IBMers are growth-minded, curious, receptive to feedback, and committed to continuous learning. They provide ongoing feedback to colleagues, collaborate inclusively, and make critical decisions confidently. This mindset helps IBM serve as a catalyst for progress, embracing challenges with resourcefulness, a positive attitude, and a results-oriented approach.
Are you ready to be an IBMer?
IBM’s greatest invention is the IBMer. We believe that through intelligence, reason, and science, we can improve business, society, and the human condition—bringing the power of an open hybrid cloud and AI strategy to life for clients and partners worldwide.
Founded in 1911, IBM is one of the largest global corporations and a leading employer in technology and consulting. Many Fortune 50 companies rely on IBM Cloud to run their business.
We are pioneers in artificial intelligence, quantum computing, and blockchain. Join us to help shape the future of responsible technology innovation and positive global impact.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration regardless of race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. We also comply with all fair employment practices regarding citizenship and immigration status.
Our positions are open to individuals with disabilities (PwD) or those who are rehabilitated.
Job Title: Job ID 32106
Location: No City
Country: [Country]
Work Arrangement: Hybrid
Area of Work: Data & Analytics
Employment Type: Regular
Contract Type: Regular
Position Type: Professional
No Travel required.
Shift: General (daytime)