**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** A Data Engineer with Advanced Analytics expertise specializes in formulating mathematical approaches to solve complex business problems, gathering and preparing data, and utilizing predictive analytics tools like SPSS to draw conclusions and present findings. Their skills encompass mathematical optimization, discrete-event simulation, rules programming, and predictive analytics. They design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results. This role requires a strong understanding of data engineering principles and the ability to apply them to advanced analytics projects. **Required technical and professional expertise** *Experience with CI/CD pipelines & tools like Jenkins, GitLab CI/CD *Proficiency in scripting languages such as Python, Shell. - Linux OS & Linux ops - Any monitoring tool (splunk. DataDog) *Google Cloud Platform Knowledge *Skills - Terraform - AWS - Google Cloud Platform (GCP) - Infrastructure as Code (IaC) - Linux - Python **Preferred technical and professional experience** * JLPT N1-N3 certification is preferred * Experience in Big Data tools such as Python, Hadoop, Hive, or Spark * Proven background in SQL, Unix/Linux, and ETL process 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.