Python Developer With R And Rshiny Lazio

Python Developer With R And Rshiny
Roma
Lazio, Lazio

Introduction At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk. Your role and responsibilities The successful candidate will be responsible for contributing to the development and maintenance of data engineering solutions, providing technical expertise, and collaborating with stakeholders to drive business outcomes. Key responsibilities include: Conceptualizing and structuring information to bring data insights to life Developing and maintaining data engineering solutions using SQL, Python and R Collaborating with stakeholders to understand business requirements and provide technical guidance Supporting end-users in onboarding their datasets and evolving end-user documentation and guidelines Contributing to the improvement of application stability and user-friendliness Required technical and professional expertise We are seeking an experienced Data Engineer to join our team. The ideal candidate will have a strong technical background, excellent communication skills. Required Professional and Technical Expertise: Proven experience in Data Engineering Advanced development capabilities in Python, R Advanced skills in SQL, preferably Spark Ability to conceptualize and structure information Strong analytical and problem-solving skills Preferred technical and professional experience Experience with R and RShiny Expert skills in SQL, Spark Experience with data preparation and transformation Proven experience with documenting technical components, workflows and architecture design documents Experience with end-user support and developing user guides and documentation Ability to improve application stability and user-friendliness using R/R Shiny development and potentially migrating to Python J-18808-Ljbffr