Envision Employment Solutions is currently looking for a Data Engineer for one of our partners, a global leader in consulting, digital transformation, technology and engineering services. This position requires flexibility to work on US times and flexibility to travel abroad when needed. **Responsibilities:** * Cloud Solutions: * Develop, deploy, and manage cloud\-based applications and solutions using cloud services. * Optimize cloud infrastructure for performance, scalability, and cost\-effectiveness. * Data Management: * Ensure data quality and consistency through data cleaning, transformation, and validation processes. * Perform complex data analysis and preprocessing on large datasets. * Design and implement scalable and robust data pipelines to support analytics and data processing needs. * Build data products * Write optimized SQL queries for data retrieval, manipulation, and reporting. * CI/CD Pipeline Management: * Design and implement CI/CD pipelines to automate application builds, testing, and deployment. * Maintain and improve existing pipelines for efficiency and reliability. **Requirements:** * 4 to 6 years of experience in deploying machine learning models in production environments * Hands\-on experience with large datasets and data preprocessing. * Proficiency in Python: Extensive experience in building and maintaining scalable, efficient applications. * Proficiency in SQL: Strong knowledge of SQL for data manipulation and querying. * Solid, in\-depth knowledge of cloud services (Azure, AWS, GCP), with hands\-on experience in developing, deploying, and managing applications. * Experience with AI and machine learning frameworks and tools. * Experience using Git for version control in collaborative development environments. * Experience in integrating and managing CI/CD pipelines. * Excellent written and verbal communication skills to collaborate effectively with cross\-functional teams. * Fluent in Qatari Arabic \& English, both spoken and written. **Benefits:** * Competitive Salary based on experience * Social and medical insurance * Learning, development and career progression