We are looking for a Senior Data & AI Engineer with strong expertise in data engineering, cloud data platforms, analytics, and AI/ML. The role involves designing scalable data solutions, developing ETL/ELT pipelines, supporting AI/ML initiatives, and contributing to GCP-to-Azure migration and Azure data platform implementation. Key Responsibilities Design, develop, and optimize scalable data pipelines and integration solutions. Build and maintain ETL/ELT processes, data models, and analytics workflows. Develop data solutions using Azure Data Factory, Databricks, Synapse, and Azure Data Lake. Support AI/ML and advanced analytics initiatives. Contribute to GCP-to-Azure cloud migration projects and Azure data platform implementation. Perform data transformation, integration, quality, and performance optimization. Collaborate with business stakeholders, data teams, architects, and engineering teams. Translate business requirements into scalable and reliable data solutions. Support reporting and visualization requirements using Power BI and/or Tableau. Required Skills & Experience 8+ years of experience in Data Engineering, Analytics, AI, or a related field. Python SQL Data Modeling ETL/ELT Strong experience with: Experience with Google Cloud Platform (GCP). Proven experience in GCP-to-Azure migration or similar cloud migration initiatives. Understanding of AI/ML solutions and their integration with data platforms. Knowledge of Power BI and/or Tableau. Strong analytical, problem-solving, and stakeholder management skills. Ability to work effectively in a cross-functional, on-site environment. Good to Have Experience with advanced analytics and AI/ML data pipelines. Exposure to Azure modernization and migration programs. Experience with both GCP and Azure data services. Knowledge of data governance, data quality, and security practices. #J-18808-Ljbffr
Senior Data & AI Engineer in Basel
