Data Engineer

• Support clients to take control of their data and get value by defining reference architectures
• Work closely with business leaders and information management teams to define and implement roadmaps on data management, business intelligence, or analytics solutions
• Assess existing data components, perform POCs, and consult stakeholders
• Propose end-to-end solutions for enterprise data problems, handling collection, extraction, integration, cleansing, enriching and visualization
• Design large data platforms to enable Data Engineers, Analysts & scientists
• Apply strong exposure to different Data architectures, data lake & data warehouse concepts
• Define tools & technologies to develop automated data pipelines, write ETL processes, and develop dashboards & reports
• Reassess current state for alignment with architecture goals, best practices and business needs
• DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
• Ensure performance, reliability, reusability, resilience, scalability, security, privacy & data governance in designs
• Recommend best practices in architecture, coding, API integration, CI/CD pipelines
• Coordinate with data scientists, analysts, and other stakeholders for data-related needs
• Mentor junior practice members, lead initiatives and Data Practice Offerings
• Provide thought leadership by representing the Practice/Organization on internal/external platforms

Data Architect, GCP

Senior Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer, Ingeniero de Datos Senior