Data Engineer

• Gather, clean, and organize large datasets from various sources
• Ensure data integrity and accuracy through regular audits and validation processes
• Maintain data repositories and databases, ensuring they are up-to-date and accessible
• Perform statistical analysis and data modeling to identify trends, patterns, and insights
• Create detailed reports and visualizations to communicate findings to stakeholders
• Utilize advanced analytics techniques to solve complex business problems
• Train and deploy machine learning models to enhance data-driven decision-making
• Implement AI algorithms for predictive analytics, classification, clustering, and other applications
• Manage and optimize data pipelines and ETL (Extract, Transform, Load) processes
• Collaborate with cross-functional teams to understand data needs and provide relevant solutions
• Present data-driven insights and recommendations to business leaders and decision-makers
• Document data processes, methodologies, and findings for knowledge sharing and future reference

Data Engineer

Data Engineer

Azure Data Engineer

Data Engineering – Manufacturing Data

Lead Data Engineer

Data Engineer