**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. **Your role and responsibilities** * Supporting the development and maintenance of data pipelines in Cloud environments, with a focus on Google Cloud Platform (GCP). * Working with distributed data processing, using tools such as Dataproc, PySpark and Dataflow, with support from the team. * Performing queries and data transformations in SQL, with a focus on performance and organization. * Participating in the implementation of good development practices, such as Clean Code, testing and versioning. * Contributing to the analysis and processing of large volumes of data (Big Data). * Supporting the maintenance of environments with containers (Docker) and orchestration(Kubernetes). * Collaborating on automation and CI/CD initiatives applied to data. **Required technical and professional expertise** * Knowledge of SQL. * Notions of data modeling. * Familiarity with Cloud Computing concepts, preferably GCP. * Experience with tools such as PySpark, Dataflow and Dataproc. * Notions of good software practices: versioning with Git, code organization, testing. * Knowledge of Big Data, CI/CD, and container tools such as Docker/Kubernetes. **Preferred technical and professional experience** * Basic knowledge of Python applied to data. * Experience with large-scale data processing projects. * Knowledge of data pipelines. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.